Dummy_Model.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'keras'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-fd53f78b15b8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mkeras\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodels\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mSequential\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mkeras\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcallbacks\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mModelCheckpoint\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mkeras\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlayers\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mDense\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mActivation\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mFlatten\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel_selection\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mtrain_test_split\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mensemble\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mRandomForestRegressor\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'keras'"
     ]
    }
   ],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.callbacks import ModelCheckpoint\n",
    "from keras.layers import Dense, Activation, Flatten\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.metrics import mean_absolute_error \n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sb\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import warnings \n",
    "warnings.filterwarnings('ignore')\n",
    "warnings.filterwarnings('ignore', category=DeprecationWarning)\n",
    "from xgboost import XGBRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df  = pd.read_excel('weighted_4_regions_df_with_load_dataset_merged.xlsx',index_col='Unnamed: 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "del df['Date']\n",
    "del df['Time']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>air_temp</th>\n",
       "      <th>rh</th>\n",
       "      <th>press</th>\n",
       "      <th>TOTAL REQUIS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>2008-01-01 02:30:00</th>\n",
       "      <td>22.444444</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>1012.632578</td>\n",
       "      <td>1722.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-01 02:45:00</th>\n",
       "      <td>22.317130</td>\n",
       "      <td>78.645833</td>\n",
       "      <td>1012.674244</td>\n",
       "      <td>1722.1</td>\n",
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       "    <tr>\n",
       "      <th>2008-01-01 03:00:00</th>\n",
       "      <td>22.189815</td>\n",
       "      <td>79.291667</td>\n",
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       "    <tr>\n",
       "      <th>2008-01-01 03:15:00</th>\n",
       "      <td>22.062500</td>\n",
       "      <td>79.937500</td>\n",
       "      <td>1012.757578</td>\n",
       "      <td>1722.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-01 03:30:00</th>\n",
       "      <td>21.935185</td>\n",
       "      <td>80.583333</td>\n",
       "      <td>1012.799244</td>\n",
       "      <td>1722.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                      air_temp         rh        press  TOTAL REQUIS\n",
       "2008-01-01 02:30:00  22.444444  78.000000  1012.632578        1722.1\n",
       "2008-01-01 02:45:00  22.317130  78.645833  1012.674244        1722.1\n",
       "2008-01-01 03:00:00  22.189815  79.291667  1012.715911        1722.1\n",
       "2008-01-01 03:15:00  22.062500  79.937500  1012.757578        1722.1\n",
       "2008-01-01 03:30:00  21.935185  80.583333  1012.799244        1722.1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.index.names = ['timeseries']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df.rename(index=, columns={\"Unnamed: 0\": \"Datetime\"},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['various_day_of_year'] = df.index.dayofyear\n",
    "df['time_of_day'] = df.index.hour\n",
    "df['day-of-week'] = df.index.dayofweek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>air_temp</th>\n",
       "      <th>rh</th>\n",
       "      <th>press</th>\n",
       "      <th>TOTAL REQUIS</th>\n",
       "      <th>various_day_of_year</th>\n",
       "      <th>time_of_day</th>\n",
       "      <th>day-of-week</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>timeseries</th>\n",
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       "      <th>2008-01-01 02:30:00</th>\n",
       "      <td>22.444444</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>1012.632578</td>\n",
       "      <td>1722.1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2008-01-01 02:45:00</th>\n",
       "      <td>22.317130</td>\n",
       "      <td>78.645833</td>\n",
       "      <td>1012.674244</td>\n",
       "      <td>1722.1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-01 03:00:00</th>\n",
       "      <td>22.189815</td>\n",
       "      <td>79.291667</td>\n",
       "      <td>1012.715911</td>\n",
       "      <td>1722.1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
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       "      <th>2008-01-01 03:15:00</th>\n",
       "      <td>22.062500</td>\n",
       "      <td>79.937500</td>\n",
       "      <td>1012.757578</td>\n",
       "      <td>1722.1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-01 03:30:00</th>\n",
       "      <td>21.935185</td>\n",
       "      <td>80.583333</td>\n",
       "      <td>1012.799244</td>\n",
       "      <td>1722.1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
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      "text/plain": [
       "                      air_temp         rh        press  TOTAL REQUIS  \\\n",
       "timeseries                                                             \n",
       "2008-01-01 02:30:00  22.444444  78.000000  1012.632578        1722.1   \n",
       "2008-01-01 02:45:00  22.317130  78.645833  1012.674244        1722.1   \n",
       "2008-01-01 03:00:00  22.189815  79.291667  1012.715911        1722.1   \n",
       "2008-01-01 03:15:00  22.062500  79.937500  1012.757578        1722.1   \n",
       "2008-01-01 03:30:00  21.935185  80.583333  1012.799244        1722.1   \n",
       "\n",
       "                     various_day_of_year  time_of_day  day-of-week  \n",
       "timeseries                                                          \n",
       "2008-01-01 02:30:00                    1            2            1  \n",
       "2008-01-01 02:45:00                    1            2            1  \n",
       "2008-01-01 03:00:00                    1            3            1  \n",
       "2008-01-01 03:15:00                    1            3            1  \n",
       "2008-01-01 03:30:00                    1            3            1  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.iloc[:, [0,1,2,4,5,6]].values\n",
    "y = df.iloc[:, [3]].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Splitting the dataset into the Training set and Test set\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 0)\n",
    "\n",
    "# Feature Scaling\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "sc = StandardScaler()\n",
    "sc2 = StandardScaler()\n",
    "X_train = sc.fit_transform(X_train)\n",
    "X_test = sc.transform(X_test)\n",
    "\n",
    "y_train = sc2.fit_transform(y_train)\n",
    "y_test = sc2.transform(y_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(76702, 6)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'model' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-13-25333f189c15>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'mse'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'adam'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'model' is not defined"
     ]
    }
   ],
   "source": [
    "model.compile(loss='mse',optimizer='adam')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "history = model.fit_generator(train_gen,steps_per_epoch=500,epochs=20,validation_data=val_gen,validation_steps=val_steps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "dense_1 (Dense)              (None, 128)               896       \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 256)               33024     \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 256)               65792     \n",
      "_________________________________________________________________\n",
      "dense_4 (Dense)              (None, 256)               65792     \n",
      "_________________________________________________________________\n",
      "dense_5 (Dense)              (None, 256)               65792     \n",
      "_________________________________________________________________\n",
      "dense_6 (Dense)              (None, 1)                 257       \n",
      "=================================================================\n",
      "Total params: 231,553\n",
      "Trainable params: 231,553\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "NN_model = Sequential()\n",
    "\n",
    "# The Input Layer :\n",
    "NN_model.add(Dense(128, kernel_initializer='normal',input_dim = 6, activation='relu'))\n",
    "\n",
    "# The Hidden Layers :\n",
    "NN_model.add(Dense(256, kernel_initializer='normal',activation='relu'))\n",
    "NN_model.add(Dense(256, kernel_initializer='normal',activation='relu'))\n",
    "NN_model.add(Dense(256, kernel_initializer='normal',activation='relu'))\n",
    "NN_model.add(Dense(256, kernel_initializer='normal',activation='relu'))\n",
    "\n",
    "# The Output Layer :\n",
    "NN_model.add(Dense(1, kernel_initializer='normal',activation='linear'))\n",
    "\n",
    "# Compile the network :\n",
    "NN_model.compile(loss='mean_absolute_error', optimizer='adam', metrics=['mean_absolute_error'])\n",
    "NN_model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define a checkpoint callback :\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "checkpoint_name = 'Weights-{epoch:03d}--{val_loss:.5f}.hdf5' \n",
    "checkpoint = ModelCheckpoint(checkpoint_name, monitor='val_loss', verbose = 1, save_best_only = True, mode ='auto')\n",
    "callbacks_list = [checkpoint]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Third : Train the model :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 276127 samples, validate on 30681 samples\n",
      "Epoch 1/500\n",
      "276127/276127 [==============================] - 8s 31us/step - loss: 0.7275 - mean_absolute_error: 0.7275 - val_loss: 0.7251 - val_mean_absolute_error: 0.7251\n",
      "\n",
      "Epoch 00001: val_loss improved from inf to 0.72514, saving model to Weights-001--0.72514.hdf5\n",
      "Epoch 2/500\n",
      "276127/276127 [==============================] - 9s 32us/step - loss: 0.7150 - mean_absolute_error: 0.7150 - val_loss: 0.7157 - val_mean_absolute_error: 0.7157\n",
      "\n",
      "Epoch 00002: val_loss improved from 0.72514 to 0.71571, saving model to Weights-002--0.71571.hdf5\n",
      "Epoch 3/500\n",
      "276127/276127 [==============================] - 9s 34us/step - loss: 0.7027 - mean_absolute_error: 0.7027 - val_loss: 0.7029 - val_mean_absolute_error: 0.7029\n",
      "\n",
      "Epoch 00003: val_loss improved from 0.71571 to 0.70289, saving model to Weights-003--0.70289.hdf5\n",
      "Epoch 4/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.6896 - mean_absolute_error: 0.6896 - val_loss: 0.6897 - val_mean_absolute_error: 0.6897\n",
      "\n",
      "Epoch 00004: val_loss improved from 0.70289 to 0.68967, saving model to Weights-004--0.68967.hdf5\n",
      "Epoch 5/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.6777 - mean_absolute_error: 0.6777 - val_loss: 0.6795 - val_mean_absolute_error: 0.6795\n",
      "\n",
      "Epoch 00005: val_loss improved from 0.68967 to 0.67950, saving model to Weights-005--0.67950.hdf5\n",
      "Epoch 6/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.6658 - mean_absolute_error: 0.6658 - val_loss: 0.6717 - val_mean_absolute_error: 0.6717\n",
      "\n",
      "Epoch 00006: val_loss improved from 0.67950 to 0.67170, saving model to Weights-006--0.67170.hdf5\n",
      "Epoch 7/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.6552 - mean_absolute_error: 0.6552 - val_loss: 0.6589 - val_mean_absolute_error: 0.6589\n",
      "\n",
      "Epoch 00007: val_loss improved from 0.67170 to 0.65890, saving model to Weights-007--0.65890.hdf5\n",
      "Epoch 8/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.6456 - mean_absolute_error: 0.6456 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525\n",
      "\n",
      "Epoch 00008: val_loss improved from 0.65890 to 0.65254, saving model to Weights-008--0.65254.hdf5\n",
      "Epoch 9/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.6363 - mean_absolute_error: 0.6363 - val_loss: 0.6430 - val_mean_absolute_error: 0.6430\n",
      "\n",
      "Epoch 00009: val_loss improved from 0.65254 to 0.64298, saving model to Weights-009--0.64298.hdf5\n",
      "Epoch 10/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.6282 - mean_absolute_error: 0.6282 - val_loss: 0.6387 - val_mean_absolute_error: 0.6387\n",
      "\n",
      "Epoch 00010: val_loss improved from 0.64298 to 0.63867, saving model to Weights-010--0.63867.hdf5\n",
      "Epoch 11/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.6207 - mean_absolute_error: 0.6207 - val_loss: 0.6281 - val_mean_absolute_error: 0.6281\n",
      "\n",
      "Epoch 00011: val_loss improved from 0.63867 to 0.62812, saving model to Weights-011--0.62812.hdf5\n",
      "Epoch 12/500\n",
      "276127/276127 [==============================] - 14s 50us/step - loss: 0.6125 - mean_absolute_error: 0.6125 - val_loss: 0.6210 - val_mean_absolute_error: 0.6210\n",
      "\n",
      "Epoch 00012: val_loss improved from 0.62812 to 0.62098, saving model to Weights-012--0.62098.hdf5\n",
      "Epoch 13/500\n",
      "276127/276127 [==============================] - 8s 29us/step - loss: 0.6057 - mean_absolute_error: 0.6057 - val_loss: 0.6160 - val_mean_absolute_error: 0.6160\n",
      "\n",
      "Epoch 00013: val_loss improved from 0.62098 to 0.61596, saving model to Weights-013--0.61596.hdf5\n",
      "Epoch 14/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.5996 - mean_absolute_error: 0.5996 - val_loss: 0.6136 - val_mean_absolute_error: 0.6136\n",
      "\n",
      "Epoch 00014: val_loss improved from 0.61596 to 0.61355, saving model to Weights-014--0.61355.hdf5\n",
      "Epoch 15/500\n",
      "276127/276127 [==============================] - 13s 48us/step - loss: 0.5933 - mean_absolute_error: 0.5933 - val_loss: 0.6051 - val_mean_absolute_error: 0.6051\n",
      "\n",
      "Epoch 00015: val_loss improved from 0.61355 to 0.60506, saving model to Weights-015--0.60506.hdf5\n",
      "Epoch 16/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.5876 - mean_absolute_error: 0.5876 - val_loss: 0.5989 - val_mean_absolute_error: 0.5989\n",
      "\n",
      "Epoch 00016: val_loss improved from 0.60506 to 0.59885, saving model to Weights-016--0.59885.hdf5\n",
      "Epoch 17/500\n",
      "276127/276127 [==============================] - 14s 50us/step - loss: 0.5825 - mean_absolute_error: 0.5825 - val_loss: 0.5991 - val_mean_absolute_error: 0.5991\n",
      "\n",
      "Epoch 00017: val_loss did not improve from 0.59885\n",
      "Epoch 18/500\n",
      "276127/276127 [==============================] - 14s 49us/step - loss: 0.5773 - mean_absolute_error: 0.5773 - val_loss: 0.5929 - val_mean_absolute_error: 0.5929\n",
      "\n",
      "Epoch 00018: val_loss improved from 0.59885 to 0.59293, saving model to Weights-018--0.59293.hdf5\n",
      "Epoch 19/500\n",
      "276127/276127 [==============================] - 7s 26us/step - loss: 0.5725 - mean_absolute_error: 0.5725 - val_loss: 0.5924 - val_mean_absolute_error: 0.5924\n",
      "\n",
      "Epoch 00019: val_loss improved from 0.59293 to 0.59236, saving model to Weights-019--0.59236.hdf5\n",
      "Epoch 20/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.5667 - mean_absolute_error: 0.5667 - val_loss: 0.5827 - val_mean_absolute_error: 0.5827\n",
      "\n",
      "Epoch 00020: val_loss improved from 0.59236 to 0.58271, saving model to Weights-020--0.58271.hdf5\n",
      "Epoch 21/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.5624 - mean_absolute_error: 0.5624 - val_loss: 0.5798 - val_mean_absolute_error: 0.5798\n",
      "\n",
      "Epoch 00021: val_loss improved from 0.58271 to 0.57977, saving model to Weights-021--0.57977.hdf5\n",
      "Epoch 22/500\n",
      "276127/276127 [==============================] - 14s 51us/step - loss: 0.5584 - mean_absolute_error: 0.5584 - val_loss: 0.5780 - val_mean_absolute_error: 0.5780\n",
      "\n",
      "Epoch 00022: val_loss improved from 0.57977 to 0.57799, saving model to Weights-022--0.57799.hdf5\n",
      "Epoch 23/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.5539 - mean_absolute_error: 0.5539 - val_loss: 0.5695 - val_mean_absolute_error: 0.5695\n",
      "\n",
      "Epoch 00023: val_loss improved from 0.57799 to 0.56947, saving model to Weights-023--0.56947.hdf5\n",
      "Epoch 24/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.5497 - mean_absolute_error: 0.5497 - val_loss: 0.5743 - val_mean_absolute_error: 0.5743\n",
      "\n",
      "Epoch 00024: val_loss did not improve from 0.56947\n",
      "Epoch 25/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.5455 - mean_absolute_error: 0.5455 - val_loss: 0.5660 - val_mean_absolute_error: 0.5660\n",
      "\n",
      "Epoch 00025: val_loss improved from 0.56947 to 0.56597, saving model to Weights-025--0.56597.hdf5\n",
      "Epoch 26/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.5424 - mean_absolute_error: 0.5424 - val_loss: 0.5610 - val_mean_absolute_error: 0.5610\n",
      "\n",
      "Epoch 00026: val_loss improved from 0.56597 to 0.56098, saving model to Weights-026--0.56098.hdf5\n",
      "Epoch 27/500\n",
      "276127/276127 [==============================] - 12s 43us/step - loss: 0.5384 - mean_absolute_error: 0.5384 - val_loss: 0.5630 - val_mean_absolute_error: 0.5630\n",
      "\n",
      "Epoch 00027: val_loss did not improve from 0.56098\n",
      "Epoch 28/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.5346 - mean_absolute_error: 0.5346 - val_loss: 0.5558 - val_mean_absolute_error: 0.5558\n",
      "\n",
      "Epoch 00028: val_loss improved from 0.56098 to 0.55583, saving model to Weights-028--0.55583.hdf5\n",
      "Epoch 29/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.5314 - mean_absolute_error: 0.5314 - val_loss: 0.5534 - val_mean_absolute_error: 0.5534\n",
      "\n",
      "Epoch 00029: val_loss improved from 0.55583 to 0.55341, saving model to Weights-029--0.55341.hdf5\n",
      "Epoch 30/500\n",
      "276127/276127 [==============================] - 11s 42us/step - loss: 0.5277 - mean_absolute_error: 0.5277 - val_loss: 0.5491 - val_mean_absolute_error: 0.5491\n",
      "\n",
      "Epoch 00030: val_loss improved from 0.55341 to 0.54906, saving model to Weights-030--0.54906.hdf5\n",
      "Epoch 31/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.5253 - mean_absolute_error: 0.5253 - val_loss: 0.5464 - val_mean_absolute_error: 0.5464\n",
      "\n",
      "Epoch 00031: val_loss improved from 0.54906 to 0.54636, saving model to Weights-031--0.54636.hdf5\n",
      "Epoch 32/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.5215 - mean_absolute_error: 0.5215 - val_loss: 0.5424 - val_mean_absolute_error: 0.5424\n",
      "\n",
      "Epoch 00032: val_loss improved from 0.54636 to 0.54239, saving model to Weights-032--0.54239.hdf5\n",
      "Epoch 33/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.5191 - mean_absolute_error: 0.5191 - val_loss: 0.5388 - val_mean_absolute_error: 0.5388\n",
      "\n",
      "Epoch 00033: val_loss improved from 0.54239 to 0.53883, saving model to Weights-033--0.53883.hdf5\n",
      "Epoch 34/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.5161 - mean_absolute_error: 0.5161 - val_loss: 0.5417 - val_mean_absolute_error: 0.5417\n",
      "\n",
      "Epoch 00034: val_loss did not improve from 0.53883\n",
      "Epoch 35/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.5128 - mean_absolute_error: 0.5128 - val_loss: 0.5359 - val_mean_absolute_error: 0.5359\n",
      "\n",
      "Epoch 00035: val_loss improved from 0.53883 to 0.53590, saving model to Weights-035--0.53590.hdf5\n",
      "Epoch 36/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.5103 - mean_absolute_error: 0.5103 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294\n",
      "\n",
      "Epoch 00036: val_loss improved from 0.53590 to 0.52945, saving model to Weights-036--0.52945.hdf5\n",
      "Epoch 37/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.5070 - mean_absolute_error: 0.5070 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292\n",
      "\n",
      "Epoch 00037: val_loss improved from 0.52945 to 0.52923, saving model to Weights-037--0.52923.hdf5\n",
      "Epoch 38/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.5047 - mean_absolute_error: 0.5047 - val_loss: 0.5310 - val_mean_absolute_error: 0.5310\n",
      "\n",
      "Epoch 00038: val_loss did not improve from 0.52923\n",
      "Epoch 39/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.5026 - mean_absolute_error: 0.5026 - val_loss: 0.5269 - val_mean_absolute_error: 0.5269\n",
      "\n",
      "Epoch 00039: val_loss improved from 0.52923 to 0.52689, saving model to Weights-039--0.52689.hdf5\n",
      "Epoch 40/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.4998 - mean_absolute_error: 0.4998 - val_loss: 0.5281 - val_mean_absolute_error: 0.5281\n",
      "\n",
      "Epoch 00040: val_loss did not improve from 0.52689\n",
      "Epoch 41/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4977 - mean_absolute_error: 0.4977 - val_loss: 0.5210 - val_mean_absolute_error: 0.5210\n",
      "\n",
      "Epoch 00041: val_loss improved from 0.52689 to 0.52102, saving model to Weights-041--0.52102.hdf5\n",
      "Epoch 42/500\n",
      "276127/276127 [==============================] - 11s 42us/step - loss: 0.4946 - mean_absolute_error: 0.4946 - val_loss: 0.5191 - val_mean_absolute_error: 0.5191\n",
      "\n",
      "Epoch 00042: val_loss improved from 0.52102 to 0.51911, saving model to Weights-042--0.51911.hdf5\n",
      "Epoch 43/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4931 - mean_absolute_error: 0.4931 - val_loss: 0.5234 - val_mean_absolute_error: 0.5234\n",
      "\n",
      "Epoch 00043: val_loss did not improve from 0.51911\n",
      "Epoch 44/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.4906 - mean_absolute_error: 0.4906 - val_loss: 0.5177 - val_mean_absolute_error: 0.5177\n",
      "\n",
      "Epoch 00044: val_loss improved from 0.51911 to 0.51767, saving model to Weights-044--0.51767.hdf5\n",
      "Epoch 45/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4879 - mean_absolute_error: 0.4879 - val_loss: 0.5128 - val_mean_absolute_error: 0.5128\n",
      "\n",
      "Epoch 00045: val_loss improved from 0.51767 to 0.51276, saving model to Weights-045--0.51276.hdf5\n",
      "Epoch 46/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4860 - mean_absolute_error: 0.4860 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111\n",
      "\n",
      "Epoch 00046: val_loss improved from 0.51276 to 0.51105, saving model to Weights-046--0.51105.hdf5\n",
      "Epoch 47/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4841 - mean_absolute_error: 0.4841 - val_loss: 0.5147 - val_mean_absolute_error: 0.5147\n",
      "\n",
      "Epoch 00047: val_loss did not improve from 0.51105\n",
      "Epoch 48/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4817 - mean_absolute_error: 0.4817 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098\n",
      "\n",
      "Epoch 00048: val_loss improved from 0.51105 to 0.50976, saving model to Weights-048--0.50976.hdf5\n",
      "Epoch 49/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.4798 - mean_absolute_error: 0.4798 - val_loss: 0.5067 - val_mean_absolute_error: 0.5067\n",
      "\n",
      "Epoch 00049: val_loss improved from 0.50976 to 0.50672, saving model to Weights-049--0.50672.hdf5\n",
      "Epoch 50/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098\n",
      "\n",
      "Epoch 00050: val_loss did not improve from 0.50672\n",
      "Epoch 51/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047\n",
      "\n",
      "Epoch 00051: val_loss improved from 0.50672 to 0.50474, saving model to Weights-051--0.50474.hdf5\n",
      "Epoch 52/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088\n",
      "\n",
      "Epoch 00052: val_loss did not improve from 0.50474\n",
      "Epoch 53/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4718 - mean_absolute_error: 0.4718 - val_loss: 0.5003 - val_mean_absolute_error: 0.5003\n",
      "\n",
      "Epoch 00053: val_loss improved from 0.50474 to 0.50027, saving model to Weights-053--0.50027.hdf5\n",
      "Epoch 54/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4708 - mean_absolute_error: 0.4708 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096\n",
      "\n",
      "Epoch 00054: val_loss did not improve from 0.50027\n",
      "Epoch 55/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960\n",
      "\n",
      "Epoch 00055: val_loss improved from 0.50027 to 0.49597, saving model to Weights-055--0.49597.hdf5\n",
      "Epoch 56/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.5007 - val_mean_absolute_error: 0.5007\n",
      "\n",
      "Epoch 00056: val_loss did not improve from 0.49597\n",
      "Epoch 57/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053\n",
      "\n",
      "Epoch 00057: val_loss did not improve from 0.49597\n",
      "Epoch 58/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985\n",
      "\n",
      "Epoch 00058: val_loss did not improve from 0.49597\n",
      "Epoch 59/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4623 - mean_absolute_error: 0.4623 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944\n",
      "\n",
      "Epoch 00059: val_loss improved from 0.49597 to 0.49442, saving model to Weights-059--0.49442.hdf5\n",
      "Epoch 60/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4607 - mean_absolute_error: 0.4607 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923\n",
      "\n",
      "Epoch 00060: val_loss improved from 0.49442 to 0.49232, saving model to Weights-060--0.49232.hdf5\n",
      "Epoch 61/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4588 - mean_absolute_error: 0.4588 - val_loss: 0.4898 - val_mean_absolute_error: 0.4898\n",
      "\n",
      "Epoch 00061: val_loss improved from 0.49232 to 0.48983, saving model to Weights-061--0.48983.hdf5\n",
      "Epoch 62/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4573 - mean_absolute_error: 0.4573 - val_loss: 0.4865 - val_mean_absolute_error: 0.4865\n",
      "\n",
      "Epoch 00062: val_loss improved from 0.48983 to 0.48654, saving model to Weights-062--0.48654.hdf5\n",
      "Epoch 63/500\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.4557 - mean_absolute_error: 0.4557 - val_loss: 0.4863 - val_mean_absolute_error: 0.4863\n",
      "\n",
      "Epoch 00063: val_loss improved from 0.48654 to 0.48632, saving model to Weights-063--0.48632.hdf5\n",
      "Epoch 64/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.4546 - mean_absolute_error: 0.4546 - val_loss: 0.4894 - val_mean_absolute_error: 0.4894\n",
      "\n",
      "Epoch 00064: val_loss did not improve from 0.48632\n",
      "Epoch 65/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.4538 - mean_absolute_error: 0.4538 - val_loss: 0.4872 - val_mean_absolute_error: 0.4872\n",
      "\n",
      "Epoch 00065: val_loss did not improve from 0.48632\n",
      "Epoch 66/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.4512 - mean_absolute_error: 0.4512 - val_loss: 0.4873 - val_mean_absolute_error: 0.4873\n",
      "\n",
      "Epoch 00066: val_loss did not improve from 0.48632\n",
      "Epoch 67/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.4501 - mean_absolute_error: 0.4501 - val_loss: 0.4833 - val_mean_absolute_error: 0.4833\n",
      "\n",
      "Epoch 00067: val_loss improved from 0.48632 to 0.48334, saving model to Weights-067--0.48334.hdf5\n",
      "Epoch 68/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.4483 - mean_absolute_error: 0.4483 - val_loss: 0.4797 - val_mean_absolute_error: 0.4797\n",
      "\n",
      "Epoch 00068: val_loss improved from 0.48334 to 0.47971, saving model to Weights-068--0.47971.hdf5\n",
      "Epoch 69/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.4475 - mean_absolute_error: 0.4475 - val_loss: 0.4791 - val_mean_absolute_error: 0.4791\n",
      "\n",
      "Epoch 00069: val_loss improved from 0.47971 to 0.47906, saving model to Weights-069--0.47906.hdf5\n",
      "Epoch 70/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.4460 - mean_absolute_error: 0.4460 - val_loss: 0.4792 - val_mean_absolute_error: 0.4792\n",
      "\n",
      "Epoch 00070: val_loss did not improve from 0.47906\n",
      "Epoch 71/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.4448 - mean_absolute_error: 0.4448 - val_loss: 0.4769 - val_mean_absolute_error: 0.4769\n",
      "\n",
      "Epoch 00071: val_loss improved from 0.47906 to 0.47695, saving model to Weights-071--0.47695.hdf5\n",
      "Epoch 72/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.4429 - mean_absolute_error: 0.4429 - val_loss: 0.4744 - val_mean_absolute_error: 0.4744\n",
      "\n",
      "Epoch 00072: val_loss improved from 0.47695 to 0.47444, saving model to Weights-072--0.47444.hdf5\n",
      "Epoch 73/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.4417 - mean_absolute_error: 0.4417 - val_loss: 0.4755 - val_mean_absolute_error: 0.4755\n",
      "\n",
      "Epoch 00073: val_loss did not improve from 0.47444\n",
      "Epoch 74/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4406 - mean_absolute_error: 0.4406 - val_loss: 0.4764 - val_mean_absolute_error: 0.4764\n",
      "\n",
      "Epoch 00074: val_loss did not improve from 0.47444\n",
      "Epoch 75/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4393 - mean_absolute_error: 0.4393 - val_loss: 0.4826 - val_mean_absolute_error: 0.4826\n",
      "\n",
      "Epoch 00075: val_loss did not improve from 0.47444\n",
      "Epoch 76/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4376 - mean_absolute_error: 0.4376 - val_loss: 0.4742 - val_mean_absolute_error: 0.4742\n",
      "\n",
      "Epoch 00076: val_loss improved from 0.47444 to 0.47418, saving model to Weights-076--0.47418.hdf5\n",
      "Epoch 77/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.4368 - mean_absolute_error: 0.4368 - val_loss: 0.4718 - val_mean_absolute_error: 0.4718\n",
      "\n",
      "Epoch 00077: val_loss improved from 0.47418 to 0.47177, saving model to Weights-077--0.47177.hdf5\n",
      "Epoch 78/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.4363 - mean_absolute_error: 0.4363 - val_loss: 0.4737 - val_mean_absolute_error: 0.4737\n",
      "\n",
      "Epoch 00078: val_loss did not improve from 0.47177\n",
      "Epoch 79/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4340 - mean_absolute_error: 0.4340 - val_loss: 0.4680 - val_mean_absolute_error: 0.4680\n",
      "\n",
      "Epoch 00079: val_loss improved from 0.47177 to 0.46798, saving model to Weights-079--0.46798.hdf5\n",
      "Epoch 80/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.4331 - mean_absolute_error: 0.4331 - val_loss: 0.4651 - val_mean_absolute_error: 0.4651\n",
      "\n",
      "Epoch 00080: val_loss improved from 0.46798 to 0.46515, saving model to Weights-080--0.46515.hdf5\n",
      "Epoch 81/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.4321 - mean_absolute_error: 0.4321 - val_loss: 0.4639 - val_mean_absolute_error: 0.4639\n",
      "\n",
      "Epoch 00081: val_loss improved from 0.46515 to 0.46386, saving model to Weights-081--0.46386.hdf5\n",
      "Epoch 82/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4317 - mean_absolute_error: 0.4317 - val_loss: 0.4695 - val_mean_absolute_error: 0.4695\n",
      "\n",
      "Epoch 00082: val_loss did not improve from 0.46386\n",
      "Epoch 83/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.4309 - mean_absolute_error: 0.4309 - val_loss: 0.4671 - val_mean_absolute_error: 0.4671\n",
      "\n",
      "Epoch 00083: val_loss did not improve from 0.46386\n",
      "Epoch 84/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.4282 - mean_absolute_error: 0.4282 - val_loss: 0.4593 - val_mean_absolute_error: 0.4593\n",
      "\n",
      "Epoch 00084: val_loss improved from 0.46386 to 0.45928, saving model to Weights-084--0.45928.hdf5\n",
      "Epoch 85/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.4276 - mean_absolute_error: 0.4276 - val_loss: 0.4642 - val_mean_absolute_error: 0.4642\n",
      "\n",
      "Epoch 00085: val_loss did not improve from 0.45928\n",
      "Epoch 86/500\n",
      "276127/276127 [==============================] - 11s 42us/step - loss: 0.4268 - mean_absolute_error: 0.4268 - val_loss: 0.4584 - val_mean_absolute_error: 0.4584\n",
      "\n",
      "Epoch 00086: val_loss improved from 0.45928 to 0.45838, saving model to Weights-086--0.45838.hdf5\n",
      "Epoch 87/500\n",
      "276127/276127 [==============================] - 12s 43us/step - loss: 0.4251 - mean_absolute_error: 0.4251 - val_loss: 0.4620 - val_mean_absolute_error: 0.4620\n",
      "\n",
      "Epoch 00087: val_loss did not improve from 0.45838\n",
      "Epoch 88/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.4248 - mean_absolute_error: 0.4248 - val_loss: 0.4618 - val_mean_absolute_error: 0.4618\n",
      "\n",
      "Epoch 00088: val_loss did not improve from 0.45838\n",
      "Epoch 89/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4234 - mean_absolute_error: 0.4234 - val_loss: 0.4596 - val_mean_absolute_error: 0.4596\n",
      "\n",
      "Epoch 00089: val_loss did not improve from 0.45838\n",
      "Epoch 90/500\n",
      "276127/276127 [==============================] - 12s 44us/step - loss: 0.4231 - mean_absolute_error: 0.4231 - val_loss: 0.4561 - val_mean_absolute_error: 0.4561\n",
      "\n",
      "Epoch 00090: val_loss improved from 0.45838 to 0.45610, saving model to Weights-090--0.45610.hdf5\n",
      "Epoch 91/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.4215 - mean_absolute_error: 0.4215 - val_loss: 0.4533 - val_mean_absolute_error: 0.4533\n",
      "\n",
      "Epoch 00091: val_loss improved from 0.45610 to 0.45330, saving model to Weights-091--0.45330.hdf5\n",
      "Epoch 92/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.4212 - mean_absolute_error: 0.4212 - val_loss: 0.4598 - val_mean_absolute_error: 0.4598\n",
      "\n",
      "Epoch 00092: val_loss did not improve from 0.45330\n",
      "Epoch 93/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.4199 - mean_absolute_error: 0.4199 - val_loss: 0.4554 - val_mean_absolute_error: 0.4554\n",
      "\n",
      "Epoch 00093: val_loss did not improve from 0.45330\n",
      "Epoch 94/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.4195 - mean_absolute_error: 0.4195 - val_loss: 0.4590 - val_mean_absolute_error: 0.4590\n",
      "\n",
      "Epoch 00094: val_loss did not improve from 0.45330\n",
      "Epoch 95/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4180 - mean_absolute_error: 0.4180 - val_loss: 0.4597 - val_mean_absolute_error: 0.4597\n",
      "\n",
      "Epoch 00095: val_loss did not improve from 0.45330\n",
      "Epoch 96/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4175 - mean_absolute_error: 0.4175 - val_loss: 0.4540 - val_mean_absolute_error: 0.4540\n",
      "\n",
      "Epoch 00096: val_loss did not improve from 0.45330\n",
      "Epoch 97/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4163 - mean_absolute_error: 0.4163 - val_loss: 0.4532 - val_mean_absolute_error: 0.4532\n",
      "\n",
      "Epoch 00097: val_loss improved from 0.45330 to 0.45325, saving model to Weights-097--0.45325.hdf5\n",
      "Epoch 98/500\n",
      "276127/276127 [==============================] - 13s 47us/step - loss: 0.4163 - mean_absolute_error: 0.4163 - val_loss: 0.4556 - val_mean_absolute_error: 0.4556\n",
      "\n",
      "Epoch 00098: val_loss did not improve from 0.45325\n",
      "Epoch 99/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4146 - mean_absolute_error: 0.4146 - val_loss: 0.4564 - val_mean_absolute_error: 0.4564\n",
      "\n",
      "Epoch 00099: val_loss did not improve from 0.45325\n",
      "Epoch 100/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.4145 - mean_absolute_error: 0.4145 - val_loss: 0.4560 - val_mean_absolute_error: 0.4560\n",
      "\n",
      "Epoch 00100: val_loss did not improve from 0.45325\n",
      "Epoch 101/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4130 - mean_absolute_error: 0.4130 - val_loss: 0.4504 - val_mean_absolute_error: 0.4504\n",
      "\n",
      "Epoch 00101: val_loss improved from 0.45325 to 0.45039, saving model to Weights-101--0.45039.hdf5\n",
      "Epoch 102/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.4119 - mean_absolute_error: 0.4119 - val_loss: 0.4526 - val_mean_absolute_error: 0.4526\n",
      "\n",
      "Epoch 00102: val_loss did not improve from 0.45039\n",
      "Epoch 103/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.4119 - mean_absolute_error: 0.4119 - val_loss: 0.4479 - val_mean_absolute_error: 0.4479\n",
      "\n",
      "Epoch 00103: val_loss improved from 0.45039 to 0.44788, saving model to Weights-103--0.44788.hdf5\n",
      "Epoch 104/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.4106 - mean_absolute_error: 0.4106 - val_loss: 0.4526 - val_mean_absolute_error: 0.4526\n",
      "\n",
      "Epoch 00104: val_loss did not improve from 0.44788\n",
      "Epoch 105/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.4094 - mean_absolute_error: 0.4094 - val_loss: 0.4511 - val_mean_absolute_error: 0.4511\n",
      "\n",
      "Epoch 00105: val_loss did not improve from 0.44788\n",
      "Epoch 106/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4092 - mean_absolute_error: 0.4092 - val_loss: 0.4467 - val_mean_absolute_error: 0.4467\n",
      "\n",
      "Epoch 00106: val_loss improved from 0.44788 to 0.44666, saving model to Weights-106--0.44666.hdf5\n",
      "Epoch 107/500\n",
      "276127/276127 [==============================] - 12s 45us/step - loss: 0.4081 - mean_absolute_error: 0.4081 - val_loss: 0.4485 - val_mean_absolute_error: 0.4485\n",
      "\n",
      "Epoch 00107: val_loss did not improve from 0.44666\n",
      "Epoch 108/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.4075 - mean_absolute_error: 0.4075 - val_loss: 0.4477 - val_mean_absolute_error: 0.4477\n",
      "\n",
      "Epoch 00108: val_loss did not improve from 0.44666\n",
      "Epoch 109/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.4066 - mean_absolute_error: 0.4066 - val_loss: 0.4443 - val_mean_absolute_error: 0.4443\n",
      "\n",
      "Epoch 00109: val_loss improved from 0.44666 to 0.44432, saving model to Weights-109--0.44432.hdf5\n",
      "Epoch 110/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4058 - mean_absolute_error: 0.4058 - val_loss: 0.4428 - val_mean_absolute_error: 0.4428\n",
      "\n",
      "Epoch 00110: val_loss improved from 0.44432 to 0.44284, saving model to Weights-110--0.44284.hdf5\n",
      "Epoch 111/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.4048 - mean_absolute_error: 0.4048 - val_loss: 0.4390 - val_mean_absolute_error: 0.4390\n",
      "\n",
      "Epoch 00111: val_loss improved from 0.44284 to 0.43902, saving model to Weights-111--0.43902.hdf5\n",
      "Epoch 112/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.4044 - mean_absolute_error: 0.4044 - val_loss: 0.4473 - val_mean_absolute_error: 0.4473\n",
      "\n",
      "Epoch 00112: val_loss did not improve from 0.43902\n",
      "Epoch 113/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.4034 - mean_absolute_error: 0.4034 - val_loss: 0.4433 - val_mean_absolute_error: 0.4433\n",
      "\n",
      "Epoch 00113: val_loss did not improve from 0.43902\n",
      "Epoch 114/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4028 - mean_absolute_error: 0.4028 - val_loss: 0.4464 - val_mean_absolute_error: 0.4464\n",
      "\n",
      "Epoch 00114: val_loss did not improve from 0.43902\n",
      "Epoch 115/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.4024 - mean_absolute_error: 0.4024 - val_loss: 0.4491 - val_mean_absolute_error: 0.4491\n",
      "\n",
      "Epoch 00115: val_loss did not improve from 0.43902\n",
      "Epoch 116/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4016 - mean_absolute_error: 0.4016 - val_loss: 0.4435 - val_mean_absolute_error: 0.4435\n",
      "\n",
      "Epoch 00116: val_loss did not improve from 0.43902\n",
      "Epoch 117/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.4007 - mean_absolute_error: 0.4007 - val_loss: 0.4411 - val_mean_absolute_error: 0.4411\n",
      "\n",
      "Epoch 00117: val_loss did not improve from 0.43902\n",
      "Epoch 118/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3992 - mean_absolute_error: 0.3992 - val_loss: 0.4422 - val_mean_absolute_error: 0.4422\n",
      "\n",
      "Epoch 00118: val_loss did not improve from 0.43902\n",
      "Epoch 119/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3988 - mean_absolute_error: 0.3988 - val_loss: 0.4434 - val_mean_absolute_error: 0.4434\n",
      "\n",
      "Epoch 00119: val_loss did not improve from 0.43902\n",
      "Epoch 120/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3986 - mean_absolute_error: 0.3986 - val_loss: 0.4345 - val_mean_absolute_error: 0.4345\n",
      "\n",
      "Epoch 00120: val_loss improved from 0.43902 to 0.43451, saving model to Weights-120--0.43451.hdf5\n",
      "Epoch 121/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3980 - mean_absolute_error: 0.3980 - val_loss: 0.4375 - val_mean_absolute_error: 0.4375\n",
      "\n",
      "Epoch 00121: val_loss did not improve from 0.43451\n",
      "Epoch 122/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3969 - mean_absolute_error: 0.3969 - val_loss: 0.4425 - val_mean_absolute_error: 0.4425\n",
      "\n",
      "Epoch 00122: val_loss did not improve from 0.43451\n",
      "Epoch 123/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3968 - mean_absolute_error: 0.3968 - val_loss: 0.4408 - val_mean_absolute_error: 0.4408\n",
      "\n",
      "Epoch 00123: val_loss did not improve from 0.43451\n",
      "Epoch 124/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3960 - mean_absolute_error: 0.3960 - val_loss: 0.4343 - val_mean_absolute_error: 0.4343\n",
      "\n",
      "Epoch 00124: val_loss improved from 0.43451 to 0.43426, saving model to Weights-124--0.43426.hdf5\n",
      "Epoch 125/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3949 - mean_absolute_error: 0.3949 - val_loss: 0.4361 - val_mean_absolute_error: 0.4361\n",
      "\n",
      "Epoch 00125: val_loss did not improve from 0.43426\n",
      "Epoch 126/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3952 - mean_absolute_error: 0.3952 - val_loss: 0.4354 - val_mean_absolute_error: 0.4354\n",
      "\n",
      "Epoch 00126: val_loss did not improve from 0.43426\n",
      "Epoch 127/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3945 - mean_absolute_error: 0.3945 - val_loss: 0.4384 - val_mean_absolute_error: 0.4384\n",
      "\n",
      "Epoch 00127: val_loss did not improve from 0.43426\n",
      "Epoch 128/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.3939 - mean_absolute_error: 0.3939 - val_loss: 0.4326 - val_mean_absolute_error: 0.4326\n",
      "\n",
      "Epoch 00128: val_loss improved from 0.43426 to 0.43263, saving model to Weights-128--0.43263.hdf5\n",
      "Epoch 129/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3933 - mean_absolute_error: 0.3933 - val_loss: 0.4351 - val_mean_absolute_error: 0.4351\n",
      "\n",
      "Epoch 00129: val_loss did not improve from 0.43263\n",
      "Epoch 130/500\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3926 - mean_absolute_error: 0.3926 - val_loss: 0.4323 - val_mean_absolute_error: 0.4323\n",
      "\n",
      "Epoch 00130: val_loss improved from 0.43263 to 0.43234, saving model to Weights-130--0.43234.hdf5\n",
      "Epoch 131/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3919 - mean_absolute_error: 0.3919 - val_loss: 0.4311 - val_mean_absolute_error: 0.4311\n",
      "\n",
      "Epoch 00131: val_loss improved from 0.43234 to 0.43112, saving model to Weights-131--0.43112.hdf5\n",
      "Epoch 132/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3914 - mean_absolute_error: 0.3914 - val_loss: 0.4316 - val_mean_absolute_error: 0.4316\n",
      "\n",
      "Epoch 00132: val_loss did not improve from 0.43112\n",
      "Epoch 133/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3908 - mean_absolute_error: 0.3908 - val_loss: 0.4347 - val_mean_absolute_error: 0.4347\n",
      "\n",
      "Epoch 00133: val_loss did not improve from 0.43112\n",
      "Epoch 134/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3902 - mean_absolute_error: 0.3902 - val_loss: 0.4332 - val_mean_absolute_error: 0.4332\n",
      "\n",
      "Epoch 00134: val_loss did not improve from 0.43112\n",
      "Epoch 135/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3890 - mean_absolute_error: 0.3890 - val_loss: 0.4299 - val_mean_absolute_error: 0.4299\n",
      "\n",
      "Epoch 00135: val_loss improved from 0.43112 to 0.42994, saving model to Weights-135--0.42994.hdf5\n",
      "Epoch 136/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3893 - mean_absolute_error: 0.3893 - val_loss: 0.4336 - val_mean_absolute_error: 0.4336\n",
      "\n",
      "Epoch 00136: val_loss did not improve from 0.42994\n",
      "Epoch 137/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3879 - mean_absolute_error: 0.3879 - val_loss: 0.4315 - val_mean_absolute_error: 0.4315\n",
      "\n",
      "Epoch 00137: val_loss did not improve from 0.42994\n",
      "Epoch 138/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3875 - mean_absolute_error: 0.3875 - val_loss: 0.4310 - val_mean_absolute_error: 0.4310\n",
      "\n",
      "Epoch 00138: val_loss did not improve from 0.42994\n",
      "Epoch 139/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3879 - mean_absolute_error: 0.3879 - val_loss: 0.4333 - val_mean_absolute_error: 0.4333\n",
      "\n",
      "Epoch 00139: val_loss did not improve from 0.42994\n",
      "Epoch 140/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3861 - mean_absolute_error: 0.3861 - val_loss: 0.4337 - val_mean_absolute_error: 0.4337\n",
      "\n",
      "Epoch 00140: val_loss did not improve from 0.42994\n",
      "Epoch 141/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3860 - mean_absolute_error: 0.3860 - val_loss: 0.4283 - val_mean_absolute_error: 0.4283\n",
      "\n",
      "Epoch 00141: val_loss improved from 0.42994 to 0.42833, saving model to Weights-141--0.42833.hdf5\n",
      "Epoch 142/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3854 - mean_absolute_error: 0.3854 - val_loss: 0.4326 - val_mean_absolute_error: 0.4326\n",
      "\n",
      "Epoch 00142: val_loss did not improve from 0.42833\n",
      "Epoch 143/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3848 - mean_absolute_error: 0.3848 - val_loss: 0.4286 - val_mean_absolute_error: 0.4286\n",
      "\n",
      "Epoch 00143: val_loss did not improve from 0.42833\n",
      "Epoch 144/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3851 - mean_absolute_error: 0.3851 - val_loss: 0.4264 - val_mean_absolute_error: 0.4264\n",
      "\n",
      "Epoch 00144: val_loss improved from 0.42833 to 0.42636, saving model to Weights-144--0.42636.hdf5\n",
      "Epoch 145/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3840 - mean_absolute_error: 0.3840 - val_loss: 0.4324 - val_mean_absolute_error: 0.4324\n",
      "\n",
      "Epoch 00145: val_loss did not improve from 0.42636\n",
      "Epoch 146/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3832 - mean_absolute_error: 0.3832 - val_loss: 0.4299 - val_mean_absolute_error: 0.4299\n",
      "\n",
      "Epoch 00146: val_loss did not improve from 0.42636\n",
      "Epoch 147/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3834 - mean_absolute_error: 0.3834 - val_loss: 0.4239 - val_mean_absolute_error: 0.4239\n",
      "\n",
      "Epoch 00147: val_loss improved from 0.42636 to 0.42391, saving model to Weights-147--0.42391.hdf5\n",
      "Epoch 148/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3831 - mean_absolute_error: 0.3831 - val_loss: 0.4219 - val_mean_absolute_error: 0.4219\n",
      "\n",
      "Epoch 00148: val_loss improved from 0.42391 to 0.42187, saving model to Weights-148--0.42187.hdf5\n",
      "Epoch 149/500\n",
      "276127/276127 [==============================] - 12s 44us/step - loss: 0.3828 - mean_absolute_error: 0.3828 - val_loss: 0.4236 - val_mean_absolute_error: 0.4236\n",
      "\n",
      "Epoch 00149: val_loss did not improve from 0.42187\n",
      "Epoch 150/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3817 - mean_absolute_error: 0.3817 - val_loss: 0.4274 - val_mean_absolute_error: 0.4274\n",
      "\n",
      "Epoch 00150: val_loss did not improve from 0.42187\n",
      "Epoch 151/500\n",
      "276127/276127 [==============================] - 12s 44us/step - loss: 0.3815 - mean_absolute_error: 0.3815 - val_loss: 0.4222 - val_mean_absolute_error: 0.4222\n",
      "\n",
      "Epoch 00151: val_loss did not improve from 0.42187\n",
      "Epoch 152/500\n",
      "276127/276127 [==============================] - 13s 48us/step - loss: 0.3811 - mean_absolute_error: 0.3811 - val_loss: 0.4235 - val_mean_absolute_error: 0.4235\n",
      "\n",
      "Epoch 00152: val_loss did not improve from 0.42187\n",
      "Epoch 153/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3801 - mean_absolute_error: 0.3801 - val_loss: 0.4262 - val_mean_absolute_error: 0.4262\n",
      "\n",
      "Epoch 00153: val_loss did not improve from 0.42187\n",
      "Epoch 154/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3800 - mean_absolute_error: 0.3800 - val_loss: 0.4251 - val_mean_absolute_error: 0.4251\n",
      "\n",
      "Epoch 00154: val_loss did not improve from 0.42187\n",
      "Epoch 155/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3800 - mean_absolute_error: 0.3800 - val_loss: 0.4232 - val_mean_absolute_error: 0.4232\n",
      "\n",
      "Epoch 00155: val_loss did not improve from 0.42187\n",
      "Epoch 156/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3786 - mean_absolute_error: 0.3786 - val_loss: 0.4242 - val_mean_absolute_error: 0.4242\n",
      "\n",
      "Epoch 00156: val_loss did not improve from 0.42187\n",
      "Epoch 157/500\n",
      "276127/276127 [==============================] - 13s 46us/step - loss: 0.3787 - mean_absolute_error: 0.3787 - val_loss: 0.4246 - val_mean_absolute_error: 0.4246\n",
      "\n",
      "Epoch 00157: val_loss did not improve from 0.42187\n",
      "Epoch 158/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3778 - mean_absolute_error: 0.3778 - val_loss: 0.4204 - val_mean_absolute_error: 0.4204\n",
      "\n",
      "Epoch 00158: val_loss improved from 0.42187 to 0.42036, saving model to Weights-158--0.42036.hdf5\n",
      "Epoch 159/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3779 - mean_absolute_error: 0.3779 - val_loss: 0.4209 - val_mean_absolute_error: 0.4209\n",
      "\n",
      "Epoch 00159: val_loss did not improve from 0.42036\n",
      "Epoch 160/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3773 - mean_absolute_error: 0.3773 - val_loss: 0.4213 - val_mean_absolute_error: 0.4213\n",
      "\n",
      "Epoch 00160: val_loss did not improve from 0.42036\n",
      "Epoch 161/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3770 - mean_absolute_error: 0.3770 - val_loss: 0.4237 - val_mean_absolute_error: 0.4237\n",
      "\n",
      "Epoch 00161: val_loss did not improve from 0.42036\n",
      "Epoch 162/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3764 - mean_absolute_error: 0.3764 - val_loss: 0.4208 - val_mean_absolute_error: 0.4208\n",
      "\n",
      "Epoch 00162: val_loss did not improve from 0.42036\n",
      "Epoch 163/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3762 - mean_absolute_error: 0.3762 - val_loss: 0.4247 - val_mean_absolute_error: 0.4247\n",
      "\n",
      "Epoch 00163: val_loss did not improve from 0.42036\n",
      "Epoch 164/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3754 - mean_absolute_error: 0.3754 - val_loss: 0.4247 - val_mean_absolute_error: 0.4247\n",
      "\n",
      "Epoch 00164: val_loss did not improve from 0.42036\n",
      "Epoch 165/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3753 - mean_absolute_error: 0.3753 - val_loss: 0.4229 - val_mean_absolute_error: 0.4229\n",
      "\n",
      "Epoch 00165: val_loss did not improve from 0.42036\n",
      "Epoch 166/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3741 - mean_absolute_error: 0.3741 - val_loss: 0.4220 - val_mean_absolute_error: 0.4220\n",
      "\n",
      "Epoch 00166: val_loss did not improve from 0.42036\n",
      "Epoch 167/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3742 - mean_absolute_error: 0.3742 - val_loss: 0.4226 - val_mean_absolute_error: 0.4226\n",
      "\n",
      "Epoch 00167: val_loss did not improve from 0.42036\n",
      "Epoch 168/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3740 - mean_absolute_error: 0.3740 - val_loss: 0.4191 - val_mean_absolute_error: 0.4191\n",
      "\n",
      "Epoch 00168: val_loss improved from 0.42036 to 0.41907, saving model to Weights-168--0.41907.hdf5\n",
      "Epoch 169/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3745 - mean_absolute_error: 0.3745 - val_loss: 0.4200 - val_mean_absolute_error: 0.4200\n",
      "\n",
      "Epoch 00169: val_loss did not improve from 0.41907\n",
      "Epoch 170/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3726 - mean_absolute_error: 0.3726 - val_loss: 0.4193 - val_mean_absolute_error: 0.4193\n",
      "\n",
      "Epoch 00170: val_loss did not improve from 0.41907\n",
      "Epoch 171/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3736 - mean_absolute_error: 0.3736 - val_loss: 0.4166 - val_mean_absolute_error: 0.4166\n",
      "\n",
      "Epoch 00171: val_loss improved from 0.41907 to 0.41656, saving model to Weights-171--0.41656.hdf5\n",
      "Epoch 172/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3719 - mean_absolute_error: 0.3719 - val_loss: 0.4202 - val_mean_absolute_error: 0.4202\n",
      "\n",
      "Epoch 00172: val_loss did not improve from 0.41656\n",
      "Epoch 173/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3722 - mean_absolute_error: 0.3722 - val_loss: 0.4178 - val_mean_absolute_error: 0.4178\n",
      "\n",
      "Epoch 00173: val_loss did not improve from 0.41656\n",
      "Epoch 174/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3717 - mean_absolute_error: 0.3717 - val_loss: 0.4224 - val_mean_absolute_error: 0.4224\n",
      "\n",
      "Epoch 00174: val_loss did not improve from 0.41656\n",
      "Epoch 175/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3714 - mean_absolute_error: 0.3714 - val_loss: 0.4217 - val_mean_absolute_error: 0.4217\n",
      "\n",
      "Epoch 00175: val_loss did not improve from 0.41656\n",
      "Epoch 176/500\n",
      "276127/276127 [==============================] - 12s 43us/step - loss: 0.3709 - mean_absolute_error: 0.3709 - val_loss: 0.4150 - val_mean_absolute_error: 0.4150\n",
      "\n",
      "Epoch 00176: val_loss improved from 0.41656 to 0.41502, saving model to Weights-176--0.41502.hdf5\n",
      "Epoch 177/500\n",
      "276127/276127 [==============================] - 13s 45us/step - loss: 0.3706 - mean_absolute_error: 0.3706 - val_loss: 0.4144 - val_mean_absolute_error: 0.4144\n",
      "\n",
      "Epoch 00177: val_loss improved from 0.41502 to 0.41438, saving model to Weights-177--0.41438.hdf5\n",
      "Epoch 178/500\n",
      "276127/276127 [==============================] - 12s 45us/step - loss: 0.3707 - mean_absolute_error: 0.3707 - val_loss: 0.4150 - val_mean_absolute_error: 0.4150\n",
      "\n",
      "Epoch 00178: val_loss did not improve from 0.41438\n",
      "Epoch 179/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3701 - mean_absolute_error: 0.3701 - val_loss: 0.4168 - val_mean_absolute_error: 0.4168\n",
      "\n",
      "Epoch 00179: val_loss did not improve from 0.41438\n",
      "Epoch 180/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3688 - mean_absolute_error: 0.3688 - val_loss: 0.4157 - val_mean_absolute_error: 0.4157\n",
      "\n",
      "Epoch 00180: val_loss did not improve from 0.41438\n",
      "Epoch 181/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.3692 - mean_absolute_error: 0.3692 - val_loss: 0.4143 - val_mean_absolute_error: 0.4143\n",
      "\n",
      "Epoch 00181: val_loss improved from 0.41438 to 0.41435, saving model to Weights-181--0.41435.hdf5\n",
      "Epoch 182/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3689 - mean_absolute_error: 0.3689 - val_loss: 0.4186 - val_mean_absolute_error: 0.4186\n",
      "\n",
      "Epoch 00182: val_loss did not improve from 0.41435\n",
      "Epoch 183/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3685 - mean_absolute_error: 0.3685 - val_loss: 0.4150 - val_mean_absolute_error: 0.4150\n",
      "\n",
      "Epoch 00183: val_loss did not improve from 0.41435\n",
      "Epoch 184/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3682 - mean_absolute_error: 0.3682 - val_loss: 0.4119 - val_mean_absolute_error: 0.4119\n",
      "\n",
      "Epoch 00184: val_loss improved from 0.41435 to 0.41189, saving model to Weights-184--0.41189.hdf5\n",
      "Epoch 185/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3682 - mean_absolute_error: 0.3682 - val_loss: 0.4205 - val_mean_absolute_error: 0.4205\n",
      "\n",
      "Epoch 00185: val_loss did not improve from 0.41189\n",
      "Epoch 186/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3672 - mean_absolute_error: 0.3672 - val_loss: 0.4132 - val_mean_absolute_error: 0.4132\n",
      "\n",
      "Epoch 00186: val_loss did not improve from 0.41189\n",
      "Epoch 187/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3674 - mean_absolute_error: 0.3674 - val_loss: 0.4080 - val_mean_absolute_error: 0.4080\n",
      "\n",
      "Epoch 00187: val_loss improved from 0.41189 to 0.40799, saving model to Weights-187--0.40799.hdf5\n",
      "Epoch 188/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3667 - mean_absolute_error: 0.3667 - val_loss: 0.4151 - val_mean_absolute_error: 0.4151\n",
      "\n",
      "Epoch 00188: val_loss did not improve from 0.40799\n",
      "Epoch 189/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3664 - mean_absolute_error: 0.3664 - val_loss: 0.4101 - val_mean_absolute_error: 0.4101\n",
      "\n",
      "Epoch 00189: val_loss did not improve from 0.40799\n",
      "Epoch 190/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3663 - mean_absolute_error: 0.3663 - val_loss: 0.4151 - val_mean_absolute_error: 0.4151\n",
      "\n",
      "Epoch 00190: val_loss did not improve from 0.40799\n",
      "Epoch 191/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3656 - mean_absolute_error: 0.3656 - val_loss: 0.4127 - val_mean_absolute_error: 0.4127\n",
      "\n",
      "Epoch 00191: val_loss did not improve from 0.40799\n",
      "Epoch 192/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3654 - mean_absolute_error: 0.3654 - val_loss: 0.4123 - val_mean_absolute_error: 0.4123\n",
      "\n",
      "Epoch 00192: val_loss did not improve from 0.40799\n",
      "Epoch 193/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3652 - mean_absolute_error: 0.3652 - val_loss: 0.4108 - val_mean_absolute_error: 0.4108\n",
      "\n",
      "Epoch 00193: val_loss did not improve from 0.40799\n",
      "Epoch 194/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3649 - mean_absolute_error: 0.3649 - val_loss: 0.4173 - val_mean_absolute_error: 0.4173\n",
      "\n",
      "Epoch 00194: val_loss did not improve from 0.40799\n",
      "Epoch 195/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3643 - mean_absolute_error: 0.3643 - val_loss: 0.4098 - val_mean_absolute_error: 0.4098\n",
      "\n",
      "Epoch 00195: val_loss did not improve from 0.40799\n",
      "Epoch 196/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3639 - mean_absolute_error: 0.3639 - val_loss: 0.4136 - val_mean_absolute_error: 0.4136\n",
      "\n",
      "Epoch 00196: val_loss did not improve from 0.40799\n",
      "Epoch 197/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3640 - mean_absolute_error: 0.3640 - val_loss: 0.4116 - val_mean_absolute_error: 0.4116\n",
      "\n",
      "Epoch 00197: val_loss did not improve from 0.40799\n",
      "Epoch 198/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3639 - mean_absolute_error: 0.3639 - val_loss: 0.4099 - val_mean_absolute_error: 0.4099\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Epoch 00198: val_loss did not improve from 0.40799\n",
      "Epoch 199/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3643 - mean_absolute_error: 0.3643 - val_loss: 0.4140 - val_mean_absolute_error: 0.4140\n",
      "\n",
      "Epoch 00199: val_loss did not improve from 0.40799\n",
      "Epoch 200/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3633 - mean_absolute_error: 0.3633 - val_loss: 0.4131 - val_mean_absolute_error: 0.4131\n",
      "\n",
      "Epoch 00200: val_loss did not improve from 0.40799\n",
      "Epoch 201/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3624 - mean_absolute_error: 0.3624 - val_loss: 0.4066 - val_mean_absolute_error: 0.4066\n",
      "\n",
      "Epoch 00201: val_loss improved from 0.40799 to 0.40659, saving model to Weights-201--0.40659.hdf5\n",
      "Epoch 202/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3622 - mean_absolute_error: 0.3622 - val_loss: 0.4098 - val_mean_absolute_error: 0.4098\n",
      "\n",
      "Epoch 00202: val_loss did not improve from 0.40659\n",
      "Epoch 203/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3620 - mean_absolute_error: 0.3620 - val_loss: 0.4135 - val_mean_absolute_error: 0.4135\n",
      "\n",
      "Epoch 00203: val_loss did not improve from 0.40659\n",
      "Epoch 204/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3610 - mean_absolute_error: 0.3610 - val_loss: 0.4120 - val_mean_absolute_error: 0.4120\n",
      "\n",
      "Epoch 00204: val_loss did not improve from 0.40659\n",
      "Epoch 205/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3612 - mean_absolute_error: 0.3612 - val_loss: 0.4058 - val_mean_absolute_error: 0.4058\n",
      "\n",
      "Epoch 00205: val_loss improved from 0.40659 to 0.40578, saving model to Weights-205--0.40578.hdf5\n",
      "Epoch 206/500\n",
      "276127/276127 [==============================] - 9s 34us/step - loss: 0.3610 - mean_absolute_error: 0.3610 - val_loss: 0.4101 - val_mean_absolute_error: 0.4101\n",
      "\n",
      "Epoch 00206: val_loss did not improve from 0.40578\n",
      "Epoch 207/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3613 - mean_absolute_error: 0.3613 - val_loss: 0.4092 - val_mean_absolute_error: 0.4092\n",
      "\n",
      "Epoch 00207: val_loss did not improve from 0.40578\n",
      "Epoch 208/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3599 - mean_absolute_error: 0.3599 - val_loss: 0.4091 - val_mean_absolute_error: 0.4091\n",
      "\n",
      "Epoch 00208: val_loss did not improve from 0.40578\n",
      "Epoch 209/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3603 - mean_absolute_error: 0.3603 - val_loss: 0.4082 - val_mean_absolute_error: 0.4082\n",
      "\n",
      "Epoch 00209: val_loss did not improve from 0.40578\n",
      "Epoch 210/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3595 - mean_absolute_error: 0.3595 - val_loss: 0.4124 - val_mean_absolute_error: 0.4124\n",
      "\n",
      "Epoch 00210: val_loss did not improve from 0.40578\n",
      "Epoch 211/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3598 - mean_absolute_error: 0.3598 - val_loss: 0.4078 - val_mean_absolute_error: 0.4078\n",
      "\n",
      "Epoch 00211: val_loss did not improve from 0.40578\n",
      "Epoch 212/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3597 - mean_absolute_error: 0.3597 - val_loss: 0.4104 - val_mean_absolute_error: 0.4104\n",
      "\n",
      "Epoch 00212: val_loss did not improve from 0.40578\n",
      "Epoch 213/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3587 - mean_absolute_error: 0.3587 - val_loss: 0.4161 - val_mean_absolute_error: 0.4161\n",
      "\n",
      "Epoch 00213: val_loss did not improve from 0.40578\n",
      "Epoch 214/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3593 - mean_absolute_error: 0.3593 - val_loss: 0.4064 - val_mean_absolute_error: 0.4064\n",
      "\n",
      "Epoch 00214: val_loss did not improve from 0.40578\n",
      "Epoch 215/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3580 - mean_absolute_error: 0.3580 - val_loss: 0.4060 - val_mean_absolute_error: 0.4060\n",
      "\n",
      "Epoch 00215: val_loss did not improve from 0.40578\n",
      "Epoch 216/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3579 - mean_absolute_error: 0.3579 - val_loss: 0.4071 - val_mean_absolute_error: 0.4071\n",
      "\n",
      "Epoch 00216: val_loss did not improve from 0.40578\n",
      "Epoch 217/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3582 - mean_absolute_error: 0.3582 - val_loss: 0.4032 - val_mean_absolute_error: 0.4032\n",
      "\n",
      "Epoch 00217: val_loss improved from 0.40578 to 0.40320, saving model to Weights-217--0.40320.hdf5\n",
      "Epoch 218/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3577 - mean_absolute_error: 0.3577 - val_loss: 0.4047 - val_mean_absolute_error: 0.4047\n",
      "\n",
      "Epoch 00218: val_loss did not improve from 0.40320\n",
      "Epoch 219/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.3569 - mean_absolute_error: 0.3569 - val_loss: 0.4070 - val_mean_absolute_error: 0.4070\n",
      "\n",
      "Epoch 00219: val_loss did not improve from 0.40320\n",
      "Epoch 220/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3571 - mean_absolute_error: 0.3571 - val_loss: 0.4057 - val_mean_absolute_error: 0.4057\n",
      "\n",
      "Epoch 00220: val_loss did not improve from 0.40320\n",
      "Epoch 221/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3571 - mean_absolute_error: 0.3571 - val_loss: 0.4064 - val_mean_absolute_error: 0.4064\n",
      "\n",
      "Epoch 00221: val_loss did not improve from 0.40320\n",
      "Epoch 222/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3564 - mean_absolute_error: 0.3564 - val_loss: 0.4026 - val_mean_absolute_error: 0.4026\n",
      "\n",
      "Epoch 00222: val_loss improved from 0.40320 to 0.40262, saving model to Weights-222--0.40262.hdf5\n",
      "Epoch 223/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3562 - mean_absolute_error: 0.3562 - val_loss: 0.4053 - val_mean_absolute_error: 0.4053\n",
      "\n",
      "Epoch 00223: val_loss did not improve from 0.40262\n",
      "Epoch 224/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3566 - mean_absolute_error: 0.3566 - val_loss: 0.4044 - val_mean_absolute_error: 0.4044\n",
      "\n",
      "Epoch 00224: val_loss did not improve from 0.40262\n",
      "Epoch 225/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3558 - mean_absolute_error: 0.3558 - val_loss: 0.4036 - val_mean_absolute_error: 0.4036\n",
      "\n",
      "Epoch 00225: val_loss did not improve from 0.40262\n",
      "Epoch 226/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3561 - mean_absolute_error: 0.3561 - val_loss: 0.4053 - val_mean_absolute_error: 0.4053\n",
      "\n",
      "Epoch 00226: val_loss did not improve from 0.40262\n",
      "Epoch 227/500\n",
      "276127/276127 [==============================] - 12s 45us/step - loss: 0.3553 - mean_absolute_error: 0.3553 - val_loss: 0.4018 - val_mean_absolute_error: 0.4018\n",
      "\n",
      "Epoch 00227: val_loss improved from 0.40262 to 0.40179, saving model to Weights-227--0.40179.hdf5\n",
      "Epoch 228/500\n",
      "276127/276127 [==============================] - 12s 43us/step - loss: 0.3548 - mean_absolute_error: 0.3548 - val_loss: 0.4059 - val_mean_absolute_error: 0.4059\n",
      "\n",
      "Epoch 00228: val_loss did not improve from 0.40179\n",
      "Epoch 229/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3554 - mean_absolute_error: 0.3554 - val_loss: 0.4019 - val_mean_absolute_error: 0.4019\n",
      "\n",
      "Epoch 00229: val_loss did not improve from 0.40179\n",
      "Epoch 230/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3546 - mean_absolute_error: 0.3546 - val_loss: 0.4006 - val_mean_absolute_error: 0.4006\n",
      "\n",
      "Epoch 00230: val_loss improved from 0.40179 to 0.40061, saving model to Weights-230--0.40061.hdf5\n",
      "Epoch 231/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3549 - mean_absolute_error: 0.3549 - val_loss: 0.4010 - val_mean_absolute_error: 0.4010\n",
      "\n",
      "Epoch 00231: val_loss did not improve from 0.40061\n",
      "Epoch 232/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3549 - mean_absolute_error: 0.3549 - val_loss: 0.4054 - val_mean_absolute_error: 0.4054\n",
      "\n",
      "Epoch 00232: val_loss did not improve from 0.40061\n",
      "Epoch 233/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3548 - mean_absolute_error: 0.3548 - val_loss: 0.4032 - val_mean_absolute_error: 0.4032\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Epoch 00233: val_loss did not improve from 0.40061\n",
      "Epoch 234/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3541 - mean_absolute_error: 0.3541 - val_loss: 0.4059 - val_mean_absolute_error: 0.4059\n",
      "\n",
      "Epoch 00234: val_loss did not improve from 0.40061\n",
      "Epoch 235/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3535 - mean_absolute_error: 0.3535 - val_loss: 0.4054 - val_mean_absolute_error: 0.4054\n",
      "\n",
      "Epoch 00235: val_loss did not improve from 0.40061\n",
      "Epoch 236/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3537 - mean_absolute_error: 0.3537 - val_loss: 0.3988 - val_mean_absolute_error: 0.3988\n",
      "\n",
      "Epoch 00236: val_loss improved from 0.40061 to 0.39883, saving model to Weights-236--0.39883.hdf5\n",
      "Epoch 237/500\n",
      "276127/276127 [==============================] - 11s 42us/step - loss: 0.3530 - mean_absolute_error: 0.3530 - val_loss: 0.4022 - val_mean_absolute_error: 0.4022\n",
      "\n",
      "Epoch 00237: val_loss did not improve from 0.39883\n",
      "Epoch 238/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3524 - mean_absolute_error: 0.3524 - val_loss: 0.4011 - val_mean_absolute_error: 0.4011\n",
      "\n",
      "Epoch 00238: val_loss did not improve from 0.39883\n",
      "Epoch 239/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3521 - mean_absolute_error: 0.3521 - val_loss: 0.4020 - val_mean_absolute_error: 0.4020\n",
      "\n",
      "Epoch 00239: val_loss did not improve from 0.39883\n",
      "Epoch 240/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3525 - mean_absolute_error: 0.3525 - val_loss: 0.3992 - val_mean_absolute_error: 0.3992\n",
      "\n",
      "Epoch 00240: val_loss did not improve from 0.39883\n",
      "Epoch 241/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3522 - mean_absolute_error: 0.3522 - val_loss: 0.4033 - val_mean_absolute_error: 0.4033\n",
      "\n",
      "Epoch 00241: val_loss did not improve from 0.39883\n",
      "Epoch 242/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3529 - mean_absolute_error: 0.3529 - val_loss: 0.4015 - val_mean_absolute_error: 0.4015\n",
      "\n",
      "Epoch 00242: val_loss did not improve from 0.39883\n",
      "Epoch 243/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3523 - mean_absolute_error: 0.3523 - val_loss: 0.4036 - val_mean_absolute_error: 0.4036\n",
      "\n",
      "Epoch 00243: val_loss did not improve from 0.39883\n",
      "Epoch 244/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3509 - mean_absolute_error: 0.3509 - val_loss: 0.3950 - val_mean_absolute_error: 0.3950\n",
      "\n",
      "Epoch 00244: val_loss improved from 0.39883 to 0.39498, saving model to Weights-244--0.39498.hdf5\n",
      "Epoch 245/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3513 - mean_absolute_error: 0.3513 - val_loss: 0.4039 - val_mean_absolute_error: 0.4039\n",
      "\n",
      "Epoch 00245: val_loss did not improve from 0.39498\n",
      "Epoch 246/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3524 - mean_absolute_error: 0.3524 - val_loss: 0.3998 - val_mean_absolute_error: 0.3998\n",
      "\n",
      "Epoch 00246: val_loss did not improve from 0.39498\n",
      "Epoch 247/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3511 - mean_absolute_error: 0.3511 - val_loss: 0.4010 - val_mean_absolute_error: 0.4010\n",
      "\n",
      "Epoch 00247: val_loss did not improve from 0.39498\n",
      "Epoch 248/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3508 - mean_absolute_error: 0.3508 - val_loss: 0.3993 - val_mean_absolute_error: 0.3993\n",
      "\n",
      "Epoch 00248: val_loss did not improve from 0.39498\n",
      "Epoch 249/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3503 - mean_absolute_error: 0.3503 - val_loss: 0.4020 - val_mean_absolute_error: 0.4020\n",
      "\n",
      "Epoch 00249: val_loss did not improve from 0.39498\n",
      "Epoch 250/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3500 - mean_absolute_error: 0.3500 - val_loss: 0.3965 - val_mean_absolute_error: 0.3965\n",
      "\n",
      "Epoch 00250: val_loss did not improve from 0.39498\n",
      "Epoch 251/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3496 - mean_absolute_error: 0.3496 - val_loss: 0.4023 - val_mean_absolute_error: 0.4023\n",
      "\n",
      "Epoch 00251: val_loss did not improve from 0.39498\n",
      "Epoch 252/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3499 - mean_absolute_error: 0.3499 - val_loss: 0.4022 - val_mean_absolute_error: 0.4022\n",
      "\n",
      "Epoch 00252: val_loss did not improve from 0.39498\n",
      "Epoch 253/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3498 - mean_absolute_error: 0.3498 - val_loss: 0.3994 - val_mean_absolute_error: 0.3994\n",
      "\n",
      "Epoch 00253: val_loss did not improve from 0.39498\n",
      "Epoch 254/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3494 - mean_absolute_error: 0.3494 - val_loss: 0.4002 - val_mean_absolute_error: 0.4002\n",
      "\n",
      "Epoch 00254: val_loss did not improve from 0.39498\n",
      "Epoch 255/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3491 - mean_absolute_error: 0.3491 - val_loss: 0.3998 - val_mean_absolute_error: 0.3998\n",
      "\n",
      "Epoch 00255: val_loss did not improve from 0.39498\n",
      "Epoch 256/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3488 - mean_absolute_error: 0.3488 - val_loss: 0.4078 - val_mean_absolute_error: 0.4078\n",
      "\n",
      "Epoch 00256: val_loss did not improve from 0.39498\n",
      "Epoch 257/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3486 - mean_absolute_error: 0.3486 - val_loss: 0.4080 - val_mean_absolute_error: 0.4080\n",
      "\n",
      "Epoch 00257: val_loss did not improve from 0.39498\n",
      "Epoch 258/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3485 - mean_absolute_error: 0.3485 - val_loss: 0.4038 - val_mean_absolute_error: 0.4038\n",
      "\n",
      "Epoch 00258: val_loss did not improve from 0.39498\n",
      "Epoch 259/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3484 - mean_absolute_error: 0.3484 - val_loss: 0.3984 - val_mean_absolute_error: 0.3984\n",
      "\n",
      "Epoch 00259: val_loss did not improve from 0.39498\n",
      "Epoch 260/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3488 - mean_absolute_error: 0.3488 - val_loss: 0.3953 - val_mean_absolute_error: 0.3953\n",
      "\n",
      "Epoch 00260: val_loss did not improve from 0.39498\n",
      "Epoch 261/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3478 - mean_absolute_error: 0.3478 - val_loss: 0.3976 - val_mean_absolute_error: 0.3976\n",
      "\n",
      "Epoch 00261: val_loss did not improve from 0.39498\n",
      "Epoch 262/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3472 - mean_absolute_error: 0.3472 - val_loss: 0.3979 - val_mean_absolute_error: 0.3979\n",
      "\n",
      "Epoch 00262: val_loss did not improve from 0.39498\n",
      "Epoch 263/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3477 - mean_absolute_error: 0.3477 - val_loss: 0.3953 - val_mean_absolute_error: 0.3953\n",
      "\n",
      "Epoch 00263: val_loss did not improve from 0.39498\n",
      "Epoch 264/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3473 - mean_absolute_error: 0.3473 - val_loss: 0.4023 - val_mean_absolute_error: 0.4023\n",
      "\n",
      "Epoch 00264: val_loss did not improve from 0.39498\n",
      "Epoch 265/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3464 - mean_absolute_error: 0.3464 - val_loss: 0.3902 - val_mean_absolute_error: 0.3902\n",
      "\n",
      "Epoch 00265: val_loss improved from 0.39498 to 0.39019, saving model to Weights-265--0.39019.hdf5\n",
      "Epoch 266/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3468 - mean_absolute_error: 0.3468 - val_loss: 0.3969 - val_mean_absolute_error: 0.3969\n",
      "\n",
      "Epoch 00266: val_loss did not improve from 0.39019\n",
      "Epoch 267/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3466 - mean_absolute_error: 0.3466 - val_loss: 0.3983 - val_mean_absolute_error: 0.3983\n",
      "\n",
      "Epoch 00267: val_loss did not improve from 0.39019\n",
      "Epoch 268/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3461 - mean_absolute_error: 0.3461 - val_loss: 0.4001 - val_mean_absolute_error: 0.4001\n",
      "\n",
      "Epoch 00268: val_loss did not improve from 0.39019\n",
      "Epoch 269/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3468 - mean_absolute_error: 0.3468 - val_loss: 0.3997 - val_mean_absolute_error: 0.3997\n",
      "\n",
      "Epoch 00269: val_loss did not improve from 0.39019\n",
      "Epoch 270/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3455 - mean_absolute_error: 0.3455 - val_loss: 0.3936 - val_mean_absolute_error: 0.3936\n",
      "\n",
      "Epoch 00270: val_loss did not improve from 0.39019\n",
      "Epoch 271/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3455 - mean_absolute_error: 0.3455 - val_loss: 0.3952 - val_mean_absolute_error: 0.3952\n",
      "\n",
      "Epoch 00271: val_loss did not improve from 0.39019\n",
      "Epoch 272/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.3448 - mean_absolute_error: 0.3448 - val_loss: 0.4012 - val_mean_absolute_error: 0.4012\n",
      "\n",
      "Epoch 00272: val_loss did not improve from 0.39019\n",
      "Epoch 273/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3457 - mean_absolute_error: 0.3457 - val_loss: 0.3940 - val_mean_absolute_error: 0.3940\n",
      "\n",
      "Epoch 00273: val_loss did not improve from 0.39019\n",
      "Epoch 274/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3452 - mean_absolute_error: 0.3452 - val_loss: 0.3965 - val_mean_absolute_error: 0.3965\n",
      "\n",
      "Epoch 00274: val_loss did not improve from 0.39019\n",
      "Epoch 275/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3446 - mean_absolute_error: 0.3446 - val_loss: 0.4004 - val_mean_absolute_error: 0.4004\n",
      "\n",
      "Epoch 00275: val_loss did not improve from 0.39019\n",
      "Epoch 276/500\n",
      "276127/276127 [==============================] - 9s 34us/step - loss: 0.3448 - mean_absolute_error: 0.3448 - val_loss: 0.3970 - val_mean_absolute_error: 0.3970\n",
      "\n",
      "Epoch 00276: val_loss did not improve from 0.39019\n",
      "Epoch 277/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3446 - mean_absolute_error: 0.3446 - val_loss: 0.3954 - val_mean_absolute_error: 0.3954\n",
      "\n",
      "Epoch 00277: val_loss did not improve from 0.39019\n",
      "Epoch 278/500\n",
      "276127/276127 [==============================] - 11s 42us/step - loss: 0.3445 - mean_absolute_error: 0.3445 - val_loss: 0.3971 - val_mean_absolute_error: 0.3971\n",
      "\n",
      "Epoch 00278: val_loss did not improve from 0.39019\n",
      "Epoch 279/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3445 - mean_absolute_error: 0.3445 - val_loss: 0.3910 - val_mean_absolute_error: 0.3910\n",
      "\n",
      "Epoch 00279: val_loss did not improve from 0.39019\n",
      "Epoch 280/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3444 - mean_absolute_error: 0.3444 - val_loss: 0.3938 - val_mean_absolute_error: 0.3938\n",
      "\n",
      "Epoch 00280: val_loss did not improve from 0.39019\n",
      "Epoch 281/500\n",
      "276127/276127 [==============================] - 11s 42us/step - loss: 0.3438 - mean_absolute_error: 0.3438 - val_loss: 0.3934 - val_mean_absolute_error: 0.3934\n",
      "\n",
      "Epoch 00281: val_loss did not improve from 0.39019\n",
      "Epoch 282/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3436 - mean_absolute_error: 0.3436 - val_loss: 0.3964 - val_mean_absolute_error: 0.3964\n",
      "\n",
      "Epoch 00282: val_loss did not improve from 0.39019\n",
      "Epoch 283/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3435 - mean_absolute_error: 0.3435 - val_loss: 0.3974 - val_mean_absolute_error: 0.3974\n",
      "\n",
      "Epoch 00283: val_loss did not improve from 0.39019\n",
      "Epoch 284/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3433 - mean_absolute_error: 0.3433 - val_loss: 0.3928 - val_mean_absolute_error: 0.3928\n",
      "\n",
      "Epoch 00284: val_loss did not improve from 0.39019\n",
      "Epoch 285/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3434 - mean_absolute_error: 0.3434 - val_loss: 0.3960 - val_mean_absolute_error: 0.3960\n",
      "\n",
      "Epoch 00285: val_loss did not improve from 0.39019\n",
      "Epoch 286/500\n",
      "276127/276127 [==============================] - 12s 44us/step - loss: 0.3433 - mean_absolute_error: 0.3433 - val_loss: 0.3973 - val_mean_absolute_error: 0.3973\n",
      "\n",
      "Epoch 00286: val_loss did not improve from 0.39019\n",
      "Epoch 287/500\n",
      "276127/276127 [==============================] - 13s 45us/step - loss: 0.3432 - mean_absolute_error: 0.3432 - val_loss: 0.3937 - val_mean_absolute_error: 0.3937\n",
      "\n",
      "Epoch 00287: val_loss did not improve from 0.39019\n",
      "Epoch 288/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3431 - mean_absolute_error: 0.3431 - val_loss: 0.3925 - val_mean_absolute_error: 0.3925\n",
      "\n",
      "Epoch 00288: val_loss did not improve from 0.39019\n",
      "Epoch 289/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3428 - mean_absolute_error: 0.3428 - val_loss: 0.3886 - val_mean_absolute_error: 0.3886\n",
      "\n",
      "Epoch 00289: val_loss improved from 0.39019 to 0.38855, saving model to Weights-289--0.38855.hdf5\n",
      "Epoch 290/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3423 - mean_absolute_error: 0.3423 - val_loss: 0.3967 - val_mean_absolute_error: 0.3967\n",
      "\n",
      "Epoch 00290: val_loss did not improve from 0.38855\n",
      "Epoch 291/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3419 - mean_absolute_error: 0.3419 - val_loss: 0.3920 - val_mean_absolute_error: 0.3920\n",
      "\n",
      "Epoch 00291: val_loss did not improve from 0.38855\n",
      "Epoch 292/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3428 - mean_absolute_error: 0.3428 - val_loss: 0.3985 - val_mean_absolute_error: 0.3985\n",
      "\n",
      "Epoch 00292: val_loss did not improve from 0.38855\n",
      "Epoch 293/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3414 - mean_absolute_error: 0.3414 - val_loss: 0.3956 - val_mean_absolute_error: 0.3956\n",
      "\n",
      "Epoch 00293: val_loss did not improve from 0.38855\n",
      "Epoch 294/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3420 - mean_absolute_error: 0.3420 - val_loss: 0.3953 - val_mean_absolute_error: 0.3953\n",
      "\n",
      "Epoch 00294: val_loss did not improve from 0.38855\n",
      "Epoch 295/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3417 - mean_absolute_error: 0.3417 - val_loss: 0.3899 - val_mean_absolute_error: 0.3899\n",
      "\n",
      "Epoch 00295: val_loss did not improve from 0.38855\n",
      "Epoch 296/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3421 - mean_absolute_error: 0.3421 - val_loss: 0.3910 - val_mean_absolute_error: 0.3910\n",
      "\n",
      "Epoch 00296: val_loss did not improve from 0.38855\n",
      "Epoch 297/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3410 - mean_absolute_error: 0.3410 - val_loss: 0.3924 - val_mean_absolute_error: 0.3924\n",
      "\n",
      "Epoch 00297: val_loss did not improve from 0.38855\n",
      "Epoch 298/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3407 - mean_absolute_error: 0.3407 - val_loss: 0.3914 - val_mean_absolute_error: 0.3914\n",
      "\n",
      "Epoch 00298: val_loss did not improve from 0.38855\n",
      "Epoch 299/500\n",
      "276127/276127 [==============================] - 12s 43us/step - loss: 0.3411 - mean_absolute_error: 0.3411 - val_loss: 0.3978 - val_mean_absolute_error: 0.3978\n",
      "\n",
      "Epoch 00299: val_loss did not improve from 0.38855\n",
      "Epoch 300/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3413 - mean_absolute_error: 0.3413 - val_loss: 0.3949 - val_mean_absolute_error: 0.3949\n",
      "\n",
      "Epoch 00300: val_loss did not improve from 0.38855\n",
      "Epoch 301/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3411 - mean_absolute_error: 0.3411 - val_loss: 0.3927 - val_mean_absolute_error: 0.3927\n",
      "\n",
      "Epoch 00301: val_loss did not improve from 0.38855\n",
      "Epoch 302/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3401 - mean_absolute_error: 0.3401 - val_loss: 0.3953 - val_mean_absolute_error: 0.3953\n",
      "\n",
      "Epoch 00302: val_loss did not improve from 0.38855\n",
      "Epoch 303/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3403 - mean_absolute_error: 0.3403 - val_loss: 0.3935 - val_mean_absolute_error: 0.3935\n",
      "\n",
      "Epoch 00303: val_loss did not improve from 0.38855\n",
      "Epoch 304/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3399 - mean_absolute_error: 0.3399 - val_loss: 0.3910 - val_mean_absolute_error: 0.3910\n",
      "\n",
      "Epoch 00304: val_loss did not improve from 0.38855\n",
      "Epoch 305/500\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3406 - mean_absolute_error: 0.3406 - val_loss: 0.3939 - val_mean_absolute_error: 0.3939\n",
      "\n",
      "Epoch 00305: val_loss did not improve from 0.38855\n",
      "Epoch 306/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3399 - mean_absolute_error: 0.3399 - val_loss: 0.3871 - val_mean_absolute_error: 0.3871\n",
      "\n",
      "Epoch 00306: val_loss improved from 0.38855 to 0.38708, saving model to Weights-306--0.38708.hdf5\n",
      "Epoch 307/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3392 - mean_absolute_error: 0.3392 - val_loss: 0.3906 - val_mean_absolute_error: 0.3906\n",
      "\n",
      "Epoch 00307: val_loss did not improve from 0.38708\n",
      "Epoch 308/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3398 - mean_absolute_error: 0.3398 - val_loss: 0.3942 - val_mean_absolute_error: 0.3942\n",
      "\n",
      "Epoch 00308: val_loss did not improve from 0.38708\n",
      "Epoch 309/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3390 - mean_absolute_error: 0.3390 - val_loss: 0.3877 - val_mean_absolute_error: 0.3877\n",
      "\n",
      "Epoch 00309: val_loss did not improve from 0.38708\n",
      "Epoch 310/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3399 - mean_absolute_error: 0.3399 - val_loss: 0.3890 - val_mean_absolute_error: 0.3890\n",
      "\n",
      "Epoch 00310: val_loss did not improve from 0.38708\n",
      "Epoch 311/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3389 - mean_absolute_error: 0.3389 - val_loss: 0.3950 - val_mean_absolute_error: 0.3950\n",
      "\n",
      "Epoch 00311: val_loss did not improve from 0.38708\n",
      "Epoch 312/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3397 - mean_absolute_error: 0.3397 - val_loss: 0.3899 - val_mean_absolute_error: 0.3899\n",
      "\n",
      "Epoch 00312: val_loss did not improve from 0.38708\n",
      "Epoch 313/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3390 - mean_absolute_error: 0.3390 - val_loss: 0.3938 - val_mean_absolute_error: 0.3938\n",
      "\n",
      "Epoch 00313: val_loss did not improve from 0.38708\n",
      "Epoch 314/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3385 - mean_absolute_error: 0.3385 - val_loss: 0.3918 - val_mean_absolute_error: 0.3918\n",
      "\n",
      "Epoch 00314: val_loss did not improve from 0.38708\n",
      "Epoch 315/500\n",
      "276127/276127 [==============================] - 12s 43us/step - loss: 0.3374 - mean_absolute_error: 0.3374 - val_loss: 0.3984 - val_mean_absolute_error: 0.3984\n",
      "\n",
      "Epoch 00315: val_loss did not improve from 0.38708\n",
      "Epoch 316/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3380 - mean_absolute_error: 0.3380 - val_loss: 0.3873 - val_mean_absolute_error: 0.3873\n",
      "\n",
      "Epoch 00316: val_loss did not improve from 0.38708\n",
      "Epoch 317/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3372 - mean_absolute_error: 0.3372 - val_loss: 0.3906 - val_mean_absolute_error: 0.3906\n",
      "\n",
      "Epoch 00317: val_loss did not improve from 0.38708\n",
      "Epoch 318/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3377 - mean_absolute_error: 0.3377 - val_loss: 0.3875 - val_mean_absolute_error: 0.3875\n",
      "\n",
      "Epoch 00318: val_loss did not improve from 0.38708\n",
      "Epoch 319/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3373 - mean_absolute_error: 0.3373 - val_loss: 0.3894 - val_mean_absolute_error: 0.3894\n",
      "\n",
      "Epoch 00319: val_loss did not improve from 0.38708\n",
      "Epoch 320/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3371 - mean_absolute_error: 0.3371 - val_loss: 0.3889 - val_mean_absolute_error: 0.3889\n",
      "\n",
      "Epoch 00320: val_loss did not improve from 0.38708\n",
      "Epoch 321/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3376 - mean_absolute_error: 0.3376 - val_loss: 0.3892 - val_mean_absolute_error: 0.3892\n",
      "\n",
      "Epoch 00321: val_loss did not improve from 0.38708\n",
      "Epoch 322/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.3366 - mean_absolute_error: 0.3366 - val_loss: 0.3913 - val_mean_absolute_error: 0.3913\n",
      "\n",
      "Epoch 00322: val_loss did not improve from 0.38708\n",
      "Epoch 323/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3375 - mean_absolute_error: 0.3375 - val_loss: 0.3887 - val_mean_absolute_error: 0.3887\n",
      "\n",
      "Epoch 00323: val_loss did not improve from 0.38708\n",
      "Epoch 324/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3364 - mean_absolute_error: 0.3364 - val_loss: 0.3926 - val_mean_absolute_error: 0.3926\n",
      "\n",
      "Epoch 00324: val_loss did not improve from 0.38708\n",
      "Epoch 325/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.3368 - mean_absolute_error: 0.3368 - val_loss: 0.3877 - val_mean_absolute_error: 0.3877\n",
      "\n",
      "Epoch 00325: val_loss did not improve from 0.38708\n",
      "Epoch 326/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3369 - mean_absolute_error: 0.3369 - val_loss: 0.3906 - val_mean_absolute_error: 0.3906\n",
      "\n",
      "Epoch 00326: val_loss did not improve from 0.38708\n",
      "Epoch 327/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3373 - mean_absolute_error: 0.3373 - val_loss: 0.3886 - val_mean_absolute_error: 0.3886\n",
      "\n",
      "Epoch 00327: val_loss did not improve from 0.38708\n",
      "Epoch 328/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3365 - mean_absolute_error: 0.3365 - val_loss: 0.3851 - val_mean_absolute_error: 0.3851\n",
      "\n",
      "Epoch 00328: val_loss improved from 0.38708 to 0.38507, saving model to Weights-328--0.38507.hdf5\n",
      "Epoch 329/500\n",
      "276127/276127 [==============================] - 10s 35us/step - loss: 0.3354 - mean_absolute_error: 0.3354 - val_loss: 0.3937 - val_mean_absolute_error: 0.3937\n",
      "\n",
      "Epoch 00329: val_loss did not improve from 0.38507\n",
      "Epoch 330/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3359 - mean_absolute_error: 0.3359 - val_loss: 0.3852 - val_mean_absolute_error: 0.3852\n",
      "\n",
      "Epoch 00330: val_loss did not improve from 0.38507\n",
      "Epoch 331/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3360 - mean_absolute_error: 0.3360 - val_loss: 0.3889 - val_mean_absolute_error: 0.3889\n",
      "\n",
      "Epoch 00331: val_loss did not improve from 0.38507\n",
      "Epoch 332/500\n",
      "276127/276127 [==============================] - 10s 36us/step - loss: 0.3357 - mean_absolute_error: 0.3357 - val_loss: 0.3895 - val_mean_absolute_error: 0.3895\n",
      "\n",
      "Epoch 00332: val_loss did not improve from 0.38507\n",
      "Epoch 333/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3357 - mean_absolute_error: 0.3357 - val_loss: 0.3906 - val_mean_absolute_error: 0.3906\n",
      "\n",
      "Epoch 00333: val_loss did not improve from 0.38507\n",
      "Epoch 334/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3350 - mean_absolute_error: 0.3350 - val_loss: 0.3880 - val_mean_absolute_error: 0.3880\n",
      "\n",
      "Epoch 00334: val_loss did not improve from 0.38507\n",
      "Epoch 335/500\n",
      "276127/276127 [==============================] - 12s 44us/step - loss: 0.3355 - mean_absolute_error: 0.3355 - val_loss: 0.3835 - val_mean_absolute_error: 0.3835\n",
      "\n",
      "Epoch 00335: val_loss improved from 0.38507 to 0.38354, saving model to Weights-335--0.38354.hdf5\n",
      "Epoch 336/500\n",
      "276127/276127 [==============================] - 13s 46us/step - loss: 0.3344 - mean_absolute_error: 0.3344 - val_loss: 0.3870 - val_mean_absolute_error: 0.3870\n",
      "\n",
      "Epoch 00336: val_loss did not improve from 0.38354\n",
      "Epoch 337/500\n",
      "276127/276127 [==============================] - 13s 47us/step - loss: 0.3348 - mean_absolute_error: 0.3348 - val_loss: 0.3846 - val_mean_absolute_error: 0.3846\n",
      "\n",
      "Epoch 00337: val_loss did not improve from 0.38354\n",
      "Epoch 338/500\n",
      "276127/276127 [==============================] - 13s 47us/step - loss: 0.3347 - mean_absolute_error: 0.3347 - val_loss: 0.3898 - val_mean_absolute_error: 0.3898\n",
      "\n",
      "Epoch 00338: val_loss did not improve from 0.38354\n",
      "Epoch 339/500\n",
      "276127/276127 [==============================] - 12s 43us/step - loss: 0.3341 - mean_absolute_error: 0.3341 - val_loss: 0.3870 - val_mean_absolute_error: 0.3870\n",
      "\n",
      "Epoch 00339: val_loss did not improve from 0.38354\n",
      "Epoch 340/500\n",
      "276127/276127 [==============================] - 12s 44us/step - loss: 0.3343 - mean_absolute_error: 0.3343 - val_loss: 0.3884 - val_mean_absolute_error: 0.3884\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Epoch 00340: val_loss did not improve from 0.38354\n",
      "Epoch 341/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3348 - mean_absolute_error: 0.3348 - val_loss: 0.3881 - val_mean_absolute_error: 0.3881\n",
      "\n",
      "Epoch 00341: val_loss did not improve from 0.38354\n",
      "Epoch 342/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3344 - mean_absolute_error: 0.3344 - val_loss: 0.3858 - val_mean_absolute_error: 0.3858\n",
      "\n",
      "Epoch 00342: val_loss did not improve from 0.38354\n",
      "Epoch 343/500\n",
      "276127/276127 [==============================] - 11s 42us/step - loss: 0.3339 - mean_absolute_error: 0.3339 - val_loss: 0.3848 - val_mean_absolute_error: 0.3848\n",
      "\n",
      "Epoch 00343: val_loss did not improve from 0.38354\n",
      "Epoch 344/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3339 - mean_absolute_error: 0.3339 - val_loss: 0.3858 - val_mean_absolute_error: 0.3858\n",
      "\n",
      "Epoch 00344: val_loss did not improve from 0.38354\n",
      "Epoch 345/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3345 - mean_absolute_error: 0.3345 - val_loss: 0.3853 - val_mean_absolute_error: 0.3853\n",
      "\n",
      "Epoch 00345: val_loss did not improve from 0.38354\n",
      "Epoch 346/500\n",
      "276127/276127 [==============================] - 12s 43us/step - loss: 0.3335 - mean_absolute_error: 0.3335 - val_loss: 0.3898 - val_mean_absolute_error: 0.3898\n",
      "\n",
      "Epoch 00346: val_loss did not improve from 0.38354\n",
      "Epoch 347/500\n",
      "276127/276127 [==============================] - 12s 43us/step - loss: 0.3345 - mean_absolute_error: 0.3345 - val_loss: 0.3878 - val_mean_absolute_error: 0.3878\n",
      "\n",
      "Epoch 00347: val_loss did not improve from 0.38354\n",
      "Epoch 348/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3334 - mean_absolute_error: 0.3334 - val_loss: 0.3844 - val_mean_absolute_error: 0.3844\n",
      "\n",
      "Epoch 00348: val_loss did not improve from 0.38354\n",
      "Epoch 349/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3337 - mean_absolute_error: 0.3337 - val_loss: 0.3891 - val_mean_absolute_error: 0.3891\n",
      "\n",
      "Epoch 00349: val_loss did not improve from 0.38354\n",
      "Epoch 350/500\n",
      "276127/276127 [==============================] - 12s 44us/step - loss: 0.3333 - mean_absolute_error: 0.3333 - val_loss: 0.3895 - val_mean_absolute_error: 0.3895\n",
      "\n",
      "Epoch 00350: val_loss did not improve from 0.38354\n",
      "Epoch 351/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3328 - mean_absolute_error: 0.3328 - val_loss: 0.3846 - val_mean_absolute_error: 0.3846\n",
      "\n",
      "Epoch 00351: val_loss did not improve from 0.38354\n",
      "Epoch 352/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3336 - mean_absolute_error: 0.3336 - val_loss: 0.3881 - val_mean_absolute_error: 0.3881\n",
      "\n",
      "Epoch 00352: val_loss did not improve from 0.38354\n",
      "Epoch 353/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3331 - mean_absolute_error: 0.3331 - val_loss: 0.3901 - val_mean_absolute_error: 0.3901\n",
      "\n",
      "Epoch 00353: val_loss did not improve from 0.38354\n",
      "Epoch 354/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3331 - mean_absolute_error: 0.3331 - val_loss: 0.3858 - val_mean_absolute_error: 0.3858\n",
      "\n",
      "Epoch 00354: val_loss did not improve from 0.38354\n",
      "Epoch 355/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3327 - mean_absolute_error: 0.3327 - val_loss: 0.3919 - val_mean_absolute_error: 0.3919\n",
      "\n",
      "Epoch 00355: val_loss did not improve from 0.38354\n",
      "Epoch 356/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3324 - mean_absolute_error: 0.3324 - val_loss: 0.3837 - val_mean_absolute_error: 0.3837\n",
      "\n",
      "Epoch 00356: val_loss did not improve from 0.38354\n",
      "Epoch 357/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3326 - mean_absolute_error: 0.3326 - val_loss: 0.3836 - val_mean_absolute_error: 0.3836\n",
      "\n",
      "Epoch 00357: val_loss did not improve from 0.38354\n",
      "Epoch 358/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3323 - mean_absolute_error: 0.3323 - val_loss: 0.3844 - val_mean_absolute_error: 0.3844\n",
      "\n",
      "Epoch 00358: val_loss did not improve from 0.38354\n",
      "Epoch 359/500\n",
      "276127/276127 [==============================] - 12s 43us/step - loss: 0.3330 - mean_absolute_error: 0.3330 - val_loss: 0.3821 - val_mean_absolute_error: 0.3821\n",
      "\n",
      "Epoch 00359: val_loss improved from 0.38354 to 0.38212, saving model to Weights-359--0.38212.hdf5\n",
      "Epoch 360/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3314 - mean_absolute_error: 0.3314 - val_loss: 0.3847 - val_mean_absolute_error: 0.3847\n",
      "\n",
      "Epoch 00360: val_loss did not improve from 0.38212\n",
      "Epoch 361/500\n",
      "276127/276127 [==============================] - 11s 42us/step - loss: 0.3317 - mean_absolute_error: 0.3317 - val_loss: 0.3875 - val_mean_absolute_error: 0.3875\n",
      "\n",
      "Epoch 00361: val_loss did not improve from 0.38212\n",
      "Epoch 362/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3320 - mean_absolute_error: 0.3320 - val_loss: 0.3848 - val_mean_absolute_error: 0.3848\n",
      "\n",
      "Epoch 00362: val_loss did not improve from 0.38212\n",
      "Epoch 363/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3312 - mean_absolute_error: 0.3312 - val_loss: 0.3865 - val_mean_absolute_error: 0.3865\n",
      "\n",
      "Epoch 00363: val_loss did not improve from 0.38212\n",
      "Epoch 364/500\n",
      "276127/276127 [==============================] - 11s 42us/step - loss: 0.3313 - mean_absolute_error: 0.3313 - val_loss: 0.3846 - val_mean_absolute_error: 0.3846\n",
      "\n",
      "Epoch 00364: val_loss did not improve from 0.38212\n",
      "Epoch 365/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3313 - mean_absolute_error: 0.3313 - val_loss: 0.3855 - val_mean_absolute_error: 0.3855\n",
      "\n",
      "Epoch 00365: val_loss did not improve from 0.38212\n",
      "Epoch 366/500\n",
      "276127/276127 [==============================] - 11s 42us/step - loss: 0.3310 - mean_absolute_error: 0.3310 - val_loss: 0.3843 - val_mean_absolute_error: 0.3843\n",
      "\n",
      "Epoch 00366: val_loss did not improve from 0.38212\n",
      "Epoch 367/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3320 - mean_absolute_error: 0.3320 - val_loss: 0.3869 - val_mean_absolute_error: 0.3869\n",
      "\n",
      "Epoch 00367: val_loss did not improve from 0.38212\n",
      "Epoch 368/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3307 - mean_absolute_error: 0.3307 - val_loss: 0.3861 - val_mean_absolute_error: 0.3861\n",
      "\n",
      "Epoch 00368: val_loss did not improve from 0.38212\n",
      "Epoch 369/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3307 - mean_absolute_error: 0.3307 - val_loss: 0.3848 - val_mean_absolute_error: 0.3848\n",
      "\n",
      "Epoch 00369: val_loss did not improve from 0.38212\n",
      "Epoch 370/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3305 - mean_absolute_error: 0.3305 - val_loss: 0.3838 - val_mean_absolute_error: 0.3838\n",
      "\n",
      "Epoch 00370: val_loss did not improve from 0.38212\n",
      "Epoch 371/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3307 - mean_absolute_error: 0.3307 - val_loss: 0.3827 - val_mean_absolute_error: 0.3827\n",
      "\n",
      "Epoch 00371: val_loss did not improve from 0.38212\n",
      "Epoch 372/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3309 - mean_absolute_error: 0.3309 - val_loss: 0.3811 - val_mean_absolute_error: 0.3811\n",
      "\n",
      "Epoch 00372: val_loss improved from 0.38212 to 0.38106, saving model to Weights-372--0.38106.hdf5\n",
      "Epoch 373/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3310 - mean_absolute_error: 0.3310 - val_loss: 0.3823 - val_mean_absolute_error: 0.3823\n",
      "\n",
      "Epoch 00373: val_loss did not improve from 0.38106\n",
      "Epoch 374/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3300 - mean_absolute_error: 0.3300 - val_loss: 0.3839 - val_mean_absolute_error: 0.3839\n",
      "\n",
      "Epoch 00374: val_loss did not improve from 0.38106\n",
      "Epoch 375/500\n",
      "276127/276127 [==============================] - 12s 42us/step - loss: 0.3300 - mean_absolute_error: 0.3300 - val_loss: 0.3849 - val_mean_absolute_error: 0.3849\n",
      "\n",
      "Epoch 00375: val_loss did not improve from 0.38106\n",
      "Epoch 376/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3301 - mean_absolute_error: 0.3301 - val_loss: 0.3850 - val_mean_absolute_error: 0.3850\n",
      "\n",
      "Epoch 00376: val_loss did not improve from 0.38106\n",
      "Epoch 377/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3299 - mean_absolute_error: 0.3299 - val_loss: 0.3793 - val_mean_absolute_error: 0.3793\n",
      "\n",
      "Epoch 00377: val_loss improved from 0.38106 to 0.37928, saving model to Weights-377--0.37928.hdf5\n",
      "Epoch 378/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.3294 - mean_absolute_error: 0.3294 - val_loss: 0.3798 - val_mean_absolute_error: 0.3798\n",
      "\n",
      "Epoch 00378: val_loss did not improve from 0.37928\n",
      "Epoch 379/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3297 - mean_absolute_error: 0.3297 - val_loss: 0.3822 - val_mean_absolute_error: 0.3822\n",
      "\n",
      "Epoch 00379: val_loss did not improve from 0.37928\n",
      "Epoch 380/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3296 - mean_absolute_error: 0.3296 - val_loss: 0.3901 - val_mean_absolute_error: 0.3901\n",
      "\n",
      "Epoch 00380: val_loss did not improve from 0.37928\n",
      "Epoch 381/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3297 - mean_absolute_error: 0.3297 - val_loss: 0.3850 - val_mean_absolute_error: 0.3850\n",
      "\n",
      "Epoch 00381: val_loss did not improve from 0.37928\n",
      "Epoch 382/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3295 - mean_absolute_error: 0.3295 - val_loss: 0.3842 - val_mean_absolute_error: 0.3842\n",
      "\n",
      "Epoch 00382: val_loss did not improve from 0.37928\n",
      "Epoch 383/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3294 - mean_absolute_error: 0.3294 - val_loss: 0.3834 - val_mean_absolute_error: 0.3834\n",
      "\n",
      "Epoch 00383: val_loss did not improve from 0.37928\n",
      "Epoch 384/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3293 - mean_absolute_error: 0.3293 - val_loss: 0.3833 - val_mean_absolute_error: 0.3833\n",
      "\n",
      "Epoch 00384: val_loss did not improve from 0.37928\n",
      "Epoch 385/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3291 - mean_absolute_error: 0.3291 - val_loss: 0.3877 - val_mean_absolute_error: 0.3877\n",
      "\n",
      "Epoch 00385: val_loss did not improve from 0.37928\n",
      "Epoch 386/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3291 - mean_absolute_error: 0.3291 - val_loss: 0.3844 - val_mean_absolute_error: 0.3844\n",
      "\n",
      "Epoch 00386: val_loss did not improve from 0.37928\n",
      "Epoch 387/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3287 - mean_absolute_error: 0.3287 - val_loss: 0.3786 - val_mean_absolute_error: 0.3786\n",
      "\n",
      "Epoch 00387: val_loss improved from 0.37928 to 0.37862, saving model to Weights-387--0.37862.hdf5\n",
      "Epoch 388/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3283 - mean_absolute_error: 0.3283 - val_loss: 0.3824 - val_mean_absolute_error: 0.3824\n",
      "\n",
      "Epoch 00388: val_loss did not improve from 0.37862\n",
      "Epoch 389/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3286 - mean_absolute_error: 0.3286 - val_loss: 0.3844 - val_mean_absolute_error: 0.3844\n",
      "\n",
      "Epoch 00389: val_loss did not improve from 0.37862\n",
      "Epoch 390/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3288 - mean_absolute_error: 0.3288 - val_loss: 0.3853 - val_mean_absolute_error: 0.3853\n",
      "\n",
      "Epoch 00390: val_loss did not improve from 0.37862\n",
      "Epoch 391/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3287 - mean_absolute_error: 0.3287 - val_loss: 0.3802 - val_mean_absolute_error: 0.3802\n",
      "\n",
      "Epoch 00391: val_loss did not improve from 0.37862\n",
      "Epoch 392/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3282 - mean_absolute_error: 0.3282 - val_loss: 0.3865 - val_mean_absolute_error: 0.3865\n",
      "\n",
      "Epoch 00392: val_loss did not improve from 0.37862\n",
      "Epoch 393/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3283 - mean_absolute_error: 0.3283 - val_loss: 0.3777 - val_mean_absolute_error: 0.3777\n",
      "\n",
      "Epoch 00393: val_loss improved from 0.37862 to 0.37769, saving model to Weights-393--0.37769.hdf5\n",
      "Epoch 394/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3277 - mean_absolute_error: 0.3277 - val_loss: 0.3868 - val_mean_absolute_error: 0.3868\n",
      "\n",
      "Epoch 00394: val_loss did not improve from 0.37769\n",
      "Epoch 395/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3278 - mean_absolute_error: 0.3278 - val_loss: 0.3792 - val_mean_absolute_error: 0.3792\n",
      "\n",
      "Epoch 00395: val_loss did not improve from 0.37769\n",
      "Epoch 396/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3279 - mean_absolute_error: 0.3279 - val_loss: 0.3828 - val_mean_absolute_error: 0.3828\n",
      "\n",
      "Epoch 00396: val_loss did not improve from 0.37769\n",
      "Epoch 397/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3280 - mean_absolute_error: 0.3280 - val_loss: 0.3835 - val_mean_absolute_error: 0.3835\n",
      "\n",
      "Epoch 00397: val_loss did not improve from 0.37769\n",
      "Epoch 398/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3274 - mean_absolute_error: 0.3274 - val_loss: 0.3792 - val_mean_absolute_error: 0.3792\n",
      "\n",
      "Epoch 00398: val_loss did not improve from 0.37769\n",
      "Epoch 399/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3269 - mean_absolute_error: 0.3269 - val_loss: 0.3785 - val_mean_absolute_error: 0.3785\n",
      "\n",
      "Epoch 00399: val_loss did not improve from 0.37769\n",
      "Epoch 400/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3273 - mean_absolute_error: 0.3273 - val_loss: 0.3832 - val_mean_absolute_error: 0.3832\n",
      "\n",
      "Epoch 00400: val_loss did not improve from 0.37769\n",
      "Epoch 401/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3268 - mean_absolute_error: 0.3268 - val_loss: 0.3784 - val_mean_absolute_error: 0.3784\n",
      "\n",
      "Epoch 00401: val_loss did not improve from 0.37769\n",
      "Epoch 402/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3272 - mean_absolute_error: 0.3272 - val_loss: 0.3788 - val_mean_absolute_error: 0.3788\n",
      "\n",
      "Epoch 00402: val_loss did not improve from 0.37769\n",
      "Epoch 403/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3265 - mean_absolute_error: 0.3265 - val_loss: 0.3800 - val_mean_absolute_error: 0.3800\n",
      "\n",
      "Epoch 00403: val_loss did not improve from 0.37769\n",
      "Epoch 404/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3268 - mean_absolute_error: 0.3268 - val_loss: 0.3793 - val_mean_absolute_error: 0.3793\n",
      "\n",
      "Epoch 00404: val_loss did not improve from 0.37769\n",
      "Epoch 405/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3265 - mean_absolute_error: 0.3265 - val_loss: 0.3797 - val_mean_absolute_error: 0.3797\n",
      "\n",
      "Epoch 00405: val_loss did not improve from 0.37769\n",
      "Epoch 406/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3267 - mean_absolute_error: 0.3267 - val_loss: 0.3795 - val_mean_absolute_error: 0.3795\n",
      "\n",
      "Epoch 00406: val_loss did not improve from 0.37769\n",
      "Epoch 407/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3263 - mean_absolute_error: 0.3263 - val_loss: 0.3779 - val_mean_absolute_error: 0.3779\n",
      "\n",
      "Epoch 00407: val_loss did not improve from 0.37769\n",
      "Epoch 408/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3266 - mean_absolute_error: 0.3266 - val_loss: 0.3822 - val_mean_absolute_error: 0.3822\n",
      "\n",
      "Epoch 00408: val_loss did not improve from 0.37769\n",
      "Epoch 409/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3263 - mean_absolute_error: 0.3263 - val_loss: 0.3812 - val_mean_absolute_error: 0.3812\n",
      "\n",
      "Epoch 00409: val_loss did not improve from 0.37769\n",
      "Epoch 410/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3264 - mean_absolute_error: 0.3264 - val_loss: 0.3796 - val_mean_absolute_error: 0.3796\n",
      "\n",
      "Epoch 00410: val_loss did not improve from 0.37769\n",
      "Epoch 411/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3256 - mean_absolute_error: 0.3256 - val_loss: 0.3780 - val_mean_absolute_error: 0.3780\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Epoch 00411: val_loss did not improve from 0.37769\n",
      "Epoch 412/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3265 - mean_absolute_error: 0.3265 - val_loss: 0.3812 - val_mean_absolute_error: 0.3812\n",
      "\n",
      "Epoch 00412: val_loss did not improve from 0.37769\n",
      "Epoch 413/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3262 - mean_absolute_error: 0.3262 - val_loss: 0.3799 - val_mean_absolute_error: 0.3799\n",
      "\n",
      "Epoch 00413: val_loss did not improve from 0.37769\n",
      "Epoch 414/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3254 - mean_absolute_error: 0.3254 - val_loss: 0.3825 - val_mean_absolute_error: 0.3825\n",
      "\n",
      "Epoch 00414: val_loss did not improve from 0.37769\n",
      "Epoch 415/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3256 - mean_absolute_error: 0.3256 - val_loss: 0.3874 - val_mean_absolute_error: 0.3874\n",
      "\n",
      "Epoch 00415: val_loss did not improve from 0.37769\n",
      "Epoch 416/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3251 - mean_absolute_error: 0.3251 - val_loss: 0.3796 - val_mean_absolute_error: 0.3796\n",
      "\n",
      "Epoch 00416: val_loss did not improve from 0.37769\n",
      "Epoch 417/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3250 - mean_absolute_error: 0.3250 - val_loss: 0.3794 - val_mean_absolute_error: 0.3794\n",
      "\n",
      "Epoch 00417: val_loss did not improve from 0.37769\n",
      "Epoch 418/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3254 - mean_absolute_error: 0.3254 - val_loss: 0.3758 - val_mean_absolute_error: 0.3758\n",
      "\n",
      "Epoch 00418: val_loss improved from 0.37769 to 0.37582, saving model to Weights-418--0.37582.hdf5\n",
      "Epoch 419/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3250 - mean_absolute_error: 0.3250 - val_loss: 0.3770 - val_mean_absolute_error: 0.3770\n",
      "\n",
      "Epoch 00419: val_loss did not improve from 0.37582\n",
      "Epoch 420/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3247 - mean_absolute_error: 0.3247 - val_loss: 0.3776 - val_mean_absolute_error: 0.3776\n",
      "\n",
      "Epoch 00420: val_loss did not improve from 0.37582\n",
      "Epoch 421/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3251 - mean_absolute_error: 0.3251 - val_loss: 0.3803 - val_mean_absolute_error: 0.3803\n",
      "\n",
      "Epoch 00421: val_loss did not improve from 0.37582\n",
      "Epoch 422/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3250 - mean_absolute_error: 0.3250 - val_loss: 0.3818 - val_mean_absolute_error: 0.3818\n",
      "\n",
      "Epoch 00422: val_loss did not improve from 0.37582\n",
      "Epoch 423/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3243 - mean_absolute_error: 0.3243 - val_loss: 0.3786 - val_mean_absolute_error: 0.3786\n",
      "\n",
      "Epoch 00423: val_loss did not improve from 0.37582\n",
      "Epoch 424/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3240 - mean_absolute_error: 0.3240 - val_loss: 0.3820 - val_mean_absolute_error: 0.3820\n",
      "\n",
      "Epoch 00424: val_loss did not improve from 0.37582\n",
      "Epoch 425/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3246 - mean_absolute_error: 0.3246 - val_loss: 0.3778 - val_mean_absolute_error: 0.3778\n",
      "\n",
      "Epoch 00425: val_loss did not improve from 0.37582\n",
      "Epoch 426/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3240 - mean_absolute_error: 0.3240 - val_loss: 0.3830 - val_mean_absolute_error: 0.3830\n",
      "\n",
      "Epoch 00426: val_loss did not improve from 0.37582\n",
      "Epoch 427/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3243 - mean_absolute_error: 0.3243 - val_loss: 0.3806 - val_mean_absolute_error: 0.3806\n",
      "\n",
      "Epoch 00427: val_loss did not improve from 0.37582\n",
      "Epoch 428/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3243 - mean_absolute_error: 0.3243 - val_loss: 0.3793 - val_mean_absolute_error: 0.3793\n",
      "\n",
      "Epoch 00428: val_loss did not improve from 0.37582\n",
      "Epoch 429/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3241 - mean_absolute_error: 0.3241 - val_loss: 0.3849 - val_mean_absolute_error: 0.3849\n",
      "\n",
      "Epoch 00429: val_loss did not improve from 0.37582\n",
      "Epoch 430/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3239 - mean_absolute_error: 0.3239 - val_loss: 0.3799 - val_mean_absolute_error: 0.3799\n",
      "\n",
      "Epoch 00430: val_loss did not improve from 0.37582\n",
      "Epoch 431/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3236 - mean_absolute_error: 0.3236 - val_loss: 0.3821 - val_mean_absolute_error: 0.3821\n",
      "\n",
      "Epoch 00431: val_loss did not improve from 0.37582\n",
      "Epoch 432/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3237 - mean_absolute_error: 0.3237 - val_loss: 0.3789 - val_mean_absolute_error: 0.3789\n",
      "\n",
      "Epoch 00432: val_loss did not improve from 0.37582\n",
      "Epoch 433/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3236 - mean_absolute_error: 0.3236 - val_loss: 0.3779 - val_mean_absolute_error: 0.3779\n",
      "\n",
      "Epoch 00433: val_loss did not improve from 0.37582\n",
      "Epoch 434/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3239 - mean_absolute_error: 0.3239 - val_loss: 0.3785 - val_mean_absolute_error: 0.3785\n",
      "\n",
      "Epoch 00434: val_loss did not improve from 0.37582\n",
      "Epoch 435/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3239 - mean_absolute_error: 0.3239 - val_loss: 0.3771 - val_mean_absolute_error: 0.3771\n",
      "\n",
      "Epoch 00435: val_loss did not improve from 0.37582\n",
      "Epoch 436/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3229 - mean_absolute_error: 0.3229 - val_loss: 0.3839 - val_mean_absolute_error: 0.3839\n",
      "\n",
      "Epoch 00436: val_loss did not improve from 0.37582\n",
      "Epoch 437/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3235 - mean_absolute_error: 0.3235 - val_loss: 0.3762 - val_mean_absolute_error: 0.3762\n",
      "\n",
      "Epoch 00437: val_loss did not improve from 0.37582\n",
      "Epoch 438/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3233 - mean_absolute_error: 0.3233 - val_loss: 0.3761 - val_mean_absolute_error: 0.3761\n",
      "\n",
      "Epoch 00438: val_loss did not improve from 0.37582\n",
      "Epoch 439/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3235 - mean_absolute_error: 0.3235 - val_loss: 0.3787 - val_mean_absolute_error: 0.3787\n",
      "\n",
      "Epoch 00439: val_loss did not improve from 0.37582\n",
      "Epoch 440/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3230 - mean_absolute_error: 0.3230 - val_loss: 0.3779 - val_mean_absolute_error: 0.3779\n",
      "\n",
      "Epoch 00440: val_loss did not improve from 0.37582\n",
      "Epoch 441/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3229 - mean_absolute_error: 0.3229 - val_loss: 0.3760 - val_mean_absolute_error: 0.3760\n",
      "\n",
      "Epoch 00441: val_loss did not improve from 0.37582\n",
      "Epoch 442/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3222 - mean_absolute_error: 0.3222 - val_loss: 0.3791 - val_mean_absolute_error: 0.3791\n",
      "\n",
      "Epoch 00442: val_loss did not improve from 0.37582\n",
      "Epoch 443/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3231 - mean_absolute_error: 0.3231 - val_loss: 0.3755 - val_mean_absolute_error: 0.3755\n",
      "\n",
      "Epoch 00443: val_loss improved from 0.37582 to 0.37555, saving model to Weights-443--0.37555.hdf5\n",
      "Epoch 444/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3223 - mean_absolute_error: 0.3223 - val_loss: 0.3788 - val_mean_absolute_error: 0.3788\n",
      "\n",
      "Epoch 00444: val_loss did not improve from 0.37555\n",
      "Epoch 445/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3222 - mean_absolute_error: 0.3222 - val_loss: 0.3810 - val_mean_absolute_error: 0.3810\n",
      "\n",
      "Epoch 00445: val_loss did not improve from 0.37555\n",
      "Epoch 446/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3221 - mean_absolute_error: 0.3221 - val_loss: 0.3763 - val_mean_absolute_error: 0.3763\n",
      "\n",
      "Epoch 00446: val_loss did not improve from 0.37555\n",
      "Epoch 447/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3223 - mean_absolute_error: 0.3223 - val_loss: 0.3742 - val_mean_absolute_error: 0.3742\n",
      "\n",
      "Epoch 00447: val_loss improved from 0.37555 to 0.37423, saving model to Weights-447--0.37423.hdf5\n",
      "Epoch 448/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3223 - mean_absolute_error: 0.3223 - val_loss: 0.3787 - val_mean_absolute_error: 0.3787\n",
      "\n",
      "Epoch 00448: val_loss did not improve from 0.37423\n",
      "Epoch 449/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3217 - mean_absolute_error: 0.3217 - val_loss: 0.3770 - val_mean_absolute_error: 0.3770\n",
      "\n",
      "Epoch 00449: val_loss did not improve from 0.37423\n",
      "Epoch 450/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3214 - mean_absolute_error: 0.3214 - val_loss: 0.3768 - val_mean_absolute_error: 0.3768\n",
      "\n",
      "Epoch 00450: val_loss did not improve from 0.37423\n",
      "Epoch 451/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3220 - mean_absolute_error: 0.3220 - val_loss: 0.3783 - val_mean_absolute_error: 0.3783\n",
      "\n",
      "Epoch 00451: val_loss did not improve from 0.37423\n",
      "Epoch 452/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3212 - mean_absolute_error: 0.3212 - val_loss: 0.3787 - val_mean_absolute_error: 0.3787\n",
      "\n",
      "Epoch 00452: val_loss did not improve from 0.37423\n",
      "Epoch 453/500\n",
      "276127/276127 [==============================] - 10s 37us/step - loss: 0.3221 - mean_absolute_error: 0.3221 - val_loss: 0.3752 - val_mean_absolute_error: 0.3752\n",
      "\n",
      "Epoch 00453: val_loss did not improve from 0.37423\n",
      "Epoch 454/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3210 - mean_absolute_error: 0.3210 - val_loss: 0.3750 - val_mean_absolute_error: 0.3750\n",
      "\n",
      "Epoch 00454: val_loss did not improve from 0.37423\n",
      "Epoch 455/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3219 - mean_absolute_error: 0.3219 - val_loss: 0.3773 - val_mean_absolute_error: 0.3773\n",
      "\n",
      "Epoch 00455: val_loss did not improve from 0.37423\n",
      "Epoch 456/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3210 - mean_absolute_error: 0.3210 - val_loss: 0.3759 - val_mean_absolute_error: 0.3759\n",
      "\n",
      "Epoch 00456: val_loss did not improve from 0.37423\n",
      "Epoch 457/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3210 - mean_absolute_error: 0.3210 - val_loss: 0.3801 - val_mean_absolute_error: 0.3801\n",
      "\n",
      "Epoch 00457: val_loss did not improve from 0.37423\n",
      "Epoch 458/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3210 - mean_absolute_error: 0.3210 - val_loss: 0.3752 - val_mean_absolute_error: 0.3752\n",
      "\n",
      "Epoch 00458: val_loss did not improve from 0.37423\n",
      "Epoch 459/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3210 - mean_absolute_error: 0.3210 - val_loss: 0.3773 - val_mean_absolute_error: 0.3773\n",
      "\n",
      "Epoch 00459: val_loss did not improve from 0.37423\n",
      "Epoch 460/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3207 - mean_absolute_error: 0.3207 - val_loss: 0.3719 - val_mean_absolute_error: 0.3719\n",
      "\n",
      "Epoch 00460: val_loss improved from 0.37423 to 0.37188, saving model to Weights-460--0.37188.hdf5\n",
      "Epoch 461/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3206 - mean_absolute_error: 0.3206 - val_loss: 0.3781 - val_mean_absolute_error: 0.3781\n",
      "\n",
      "Epoch 00461: val_loss did not improve from 0.37188\n",
      "Epoch 462/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3210 - mean_absolute_error: 0.3210 - val_loss: 0.3745 - val_mean_absolute_error: 0.3745\n",
      "\n",
      "Epoch 00462: val_loss did not improve from 0.37188\n",
      "Epoch 463/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3205 - mean_absolute_error: 0.3205 - val_loss: 0.3714 - val_mean_absolute_error: 0.3714\n",
      "\n",
      "Epoch 00463: val_loss improved from 0.37188 to 0.37138, saving model to Weights-463--0.37138.hdf5\n",
      "Epoch 464/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3206 - mean_absolute_error: 0.3206 - val_loss: 0.3707 - val_mean_absolute_error: 0.3707\n",
      "\n",
      "Epoch 00464: val_loss improved from 0.37138 to 0.37068, saving model to Weights-464--0.37068.hdf5\n",
      "Epoch 465/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3204 - mean_absolute_error: 0.3204 - val_loss: 0.3745 - val_mean_absolute_error: 0.3745\n",
      "\n",
      "Epoch 00465: val_loss did not improve from 0.37068\n",
      "Epoch 466/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3200 - mean_absolute_error: 0.3200 - val_loss: 0.3800 - val_mean_absolute_error: 0.3800\n",
      "\n",
      "Epoch 00466: val_loss did not improve from 0.37068\n",
      "Epoch 467/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3199 - mean_absolute_error: 0.3199 - val_loss: 0.3817 - val_mean_absolute_error: 0.3817\n",
      "\n",
      "Epoch 00467: val_loss did not improve from 0.37068\n",
      "Epoch 468/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3197 - mean_absolute_error: 0.3197 - val_loss: 0.3750 - val_mean_absolute_error: 0.3750\n",
      "\n",
      "Epoch 00468: val_loss did not improve from 0.37068\n",
      "Epoch 469/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3199 - mean_absolute_error: 0.3199 - val_loss: 0.3741 - val_mean_absolute_error: 0.3741\n",
      "\n",
      "Epoch 00469: val_loss did not improve from 0.37068\n",
      "Epoch 470/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3199 - mean_absolute_error: 0.3199 - val_loss: 0.3744 - val_mean_absolute_error: 0.3744\n",
      "\n",
      "Epoch 00470: val_loss did not improve from 0.37068\n",
      "Epoch 471/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3198 - mean_absolute_error: 0.3198 - val_loss: 0.3745 - val_mean_absolute_error: 0.3745\n",
      "\n",
      "Epoch 00471: val_loss did not improve from 0.37068\n",
      "Epoch 472/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3192 - mean_absolute_error: 0.3192 - val_loss: 0.3778 - val_mean_absolute_error: 0.3778\n",
      "\n",
      "Epoch 00472: val_loss did not improve from 0.37068\n",
      "Epoch 473/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3192 - mean_absolute_error: 0.3192 - val_loss: 0.3795 - val_mean_absolute_error: 0.3795\n",
      "\n",
      "Epoch 00473: val_loss did not improve from 0.37068\n",
      "Epoch 474/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3189 - mean_absolute_error: 0.3189 - val_loss: 0.3754 - val_mean_absolute_error: 0.3754\n",
      "\n",
      "Epoch 00474: val_loss did not improve from 0.37068\n",
      "Epoch 475/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3202 - mean_absolute_error: 0.3202 - val_loss: 0.3748 - val_mean_absolute_error: 0.3748\n",
      "\n",
      "Epoch 00475: val_loss did not improve from 0.37068\n",
      "Epoch 476/500\n",
      "276127/276127 [==============================] - 11s 42us/step - loss: 0.3199 - mean_absolute_error: 0.3199 - val_loss: 0.3760 - val_mean_absolute_error: 0.3760\n",
      "\n",
      "Epoch 00476: val_loss did not improve from 0.37068\n",
      "Epoch 477/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3192 - mean_absolute_error: 0.3192 - val_loss: 0.3783 - val_mean_absolute_error: 0.3783\n",
      "\n",
      "Epoch 00477: val_loss did not improve from 0.37068\n",
      "Epoch 478/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3193 - mean_absolute_error: 0.3193 - val_loss: 0.3733 - val_mean_absolute_error: 0.3733\n",
      "\n",
      "Epoch 00478: val_loss did not improve from 0.37068\n",
      "Epoch 479/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3186 - mean_absolute_error: 0.3186 - val_loss: 0.3772 - val_mean_absolute_error: 0.3772\n",
      "\n",
      "Epoch 00479: val_loss did not improve from 0.37068\n",
      "Epoch 480/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3190 - mean_absolute_error: 0.3190 - val_loss: 0.3729 - val_mean_absolute_error: 0.3729\n",
      "\n",
      "Epoch 00480: val_loss did not improve from 0.37068\n",
      "Epoch 481/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3192 - mean_absolute_error: 0.3192 - val_loss: 0.3790 - val_mean_absolute_error: 0.3790\n",
      "\n",
      "Epoch 00481: val_loss did not improve from 0.37068\n",
      "Epoch 482/500\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3184 - mean_absolute_error: 0.3184 - val_loss: 0.3711 - val_mean_absolute_error: 0.3711\n",
      "\n",
      "Epoch 00482: val_loss did not improve from 0.37068\n",
      "Epoch 483/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3179 - mean_absolute_error: 0.3179 - val_loss: 0.3722 - val_mean_absolute_error: 0.3722\n",
      "\n",
      "Epoch 00483: val_loss did not improve from 0.37068\n",
      "Epoch 484/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3180 - mean_absolute_error: 0.3180 - val_loss: 0.3748 - val_mean_absolute_error: 0.3748\n",
      "\n",
      "Epoch 00484: val_loss did not improve from 0.37068\n",
      "Epoch 485/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3192 - mean_absolute_error: 0.3192 - val_loss: 0.3715 - val_mean_absolute_error: 0.3715\n",
      "\n",
      "Epoch 00485: val_loss did not improve from 0.37068\n",
      "Epoch 486/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3180 - mean_absolute_error: 0.3180 - val_loss: 0.3809 - val_mean_absolute_error: 0.3809\n",
      "\n",
      "Epoch 00486: val_loss did not improve from 0.37068\n",
      "Epoch 487/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3183 - mean_absolute_error: 0.3183 - val_loss: 0.3744 - val_mean_absolute_error: 0.3744\n",
      "\n",
      "Epoch 00487: val_loss did not improve from 0.37068\n",
      "Epoch 488/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3181 - mean_absolute_error: 0.3181 - val_loss: 0.3747 - val_mean_absolute_error: 0.3747\n",
      "\n",
      "Epoch 00488: val_loss did not improve from 0.37068\n",
      "Epoch 489/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3185 - mean_absolute_error: 0.3185 - val_loss: 0.3733 - val_mean_absolute_error: 0.3733\n",
      "\n",
      "Epoch 00489: val_loss did not improve from 0.37068\n",
      "Epoch 490/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3176 - mean_absolute_error: 0.3176 - val_loss: 0.3773 - val_mean_absolute_error: 0.3773\n",
      "\n",
      "Epoch 00490: val_loss did not improve from 0.37068\n",
      "Epoch 491/500\n",
      "276127/276127 [==============================] - 10s 38us/step - loss: 0.3174 - mean_absolute_error: 0.3174 - val_loss: 0.3716 - val_mean_absolute_error: 0.3716\n",
      "\n",
      "Epoch 00491: val_loss did not improve from 0.37068\n",
      "Epoch 492/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3171 - mean_absolute_error: 0.3171 - val_loss: 0.3685 - val_mean_absolute_error: 0.3685\n",
      "\n",
      "Epoch 00492: val_loss improved from 0.37068 to 0.36847, saving model to Weights-492--0.36847.hdf5\n",
      "Epoch 493/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3180 - mean_absolute_error: 0.3180 - val_loss: 0.3744 - val_mean_absolute_error: 0.3744\n",
      "\n",
      "Epoch 00493: val_loss did not improve from 0.36847\n",
      "Epoch 494/500\n",
      "276127/276127 [==============================] - 11s 40us/step - loss: 0.3175 - mean_absolute_error: 0.3175 - val_loss: 0.3720 - val_mean_absolute_error: 0.3720\n",
      "\n",
      "Epoch 00494: val_loss did not improve from 0.36847\n",
      "Epoch 495/500\n",
      "276127/276127 [==============================] - 11s 38us/step - loss: 0.3179 - mean_absolute_error: 0.3179 - val_loss: 0.3726 - val_mean_absolute_error: 0.3726\n",
      "\n",
      "Epoch 00495: val_loss did not improve from 0.36847\n",
      "Epoch 496/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3170 - mean_absolute_error: 0.3170 - val_loss: 0.3695 - val_mean_absolute_error: 0.3695\n",
      "\n",
      "Epoch 00496: val_loss did not improve from 0.36847\n",
      "Epoch 497/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3171 - mean_absolute_error: 0.3171 - val_loss: 0.3784 - val_mean_absolute_error: 0.3784\n",
      "\n",
      "Epoch 00497: val_loss did not improve from 0.36847\n",
      "Epoch 498/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3177 - mean_absolute_error: 0.3177 - val_loss: 0.3739 - val_mean_absolute_error: 0.3739\n",
      "\n",
      "Epoch 00498: val_loss did not improve from 0.36847\n",
      "Epoch 499/500\n",
      "276127/276127 [==============================] - 11s 41us/step - loss: 0.3172 - mean_absolute_error: 0.3172 - val_loss: 0.3783 - val_mean_absolute_error: 0.3783\n",
      "\n",
      "Epoch 00499: val_loss did not improve from 0.36847\n",
      "Epoch 500/500\n",
      "276127/276127 [==============================] - 11s 39us/step - loss: 0.3172 - mean_absolute_error: 0.3172 - val_loss: 0.3803 - val_mean_absolute_error: 0.3803\n",
      "\n",
      "Epoch 00500: val_loss did not improve from 0.36847\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7fca8ddc9eb8>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NN_model.fit(X_train, y_train, epochs=500, batch_size=100, validation_split = 0.1, callbacks=callbacks_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load wights file of the best model :\n",
    "wights_file = 'Weights-002--0.71571.hdf5' # choose the best checkpoint \n",
    "NN_model.load_weights(wights_file) # load it\n",
    "NN_model.compile(loss='mean_absolute_error', optimizer='adam', metrics=['mean_absolute_error'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#model craetion\n",
    "model=Sequential()\n",
    "model.add(Dense(128, input_dim=6))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Dense(256))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Dense(256))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Dense(256))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Dense(128))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Dense(128))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Dense(output_dim=1,activation='relu'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(' heyy this is gradient, I am dancing in a concave surface -----------')\n",
    "for i in range(100000):\n",
    "    cost = model.train_on_batch(X_train,y_train)\n",
    "    if i % 10 == 0:\n",
    "        print(' training losses:', cost)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random forest validation MAE =  0.2520168757691933\n"
     ]
    }
   ],
   "source": [
    "model = RandomForestRegressor(n_estimators=10)\n",
    "model.fit(X_train,y_train)\n",
    "\n",
    "# Get the mean absolute error on the validation data\n",
    "predicted_prices = model.predict(X_test)\n",
    "MAE = mean_absolute_error(y_test , predicted_prices)\n",
    "print('Random forest validation MAE = ', MAE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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