From df70860246534a8c60e41c847cb06f47c6a91d4d Mon Sep 17 00:00:00 2001
From: Ubuntu
 <anargyri@anargyrigpu2.4jaf42zu4v0erje5lkulqf23gh.bx.internal.cloudapp.net>
Date: Tue, 26 Sep 2017 09:08:01 +0000
Subject: [PATCH] Add missing import

---
 lstm_word2vec_archive.ipynb | 61 ++++++++++++++++++++++++-------------
 1 file changed, 39 insertions(+), 22 deletions(-)

diff --git a/lstm_word2vec_archive.ipynb b/lstm_word2vec_archive.ipynb
index 5b7ad05..330282f 100644
--- a/lstm_word2vec_archive.ipynb
+++ b/lstm_word2vec_archive.ipynb
@@ -12,21 +12,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {
     "collapsed": false,
     "deletable": true,
     "editable": true
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Using CNTK backend\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "import os\n",
@@ -37,7 +29,7 @@
     "os.environ['KERAS_BACKEND']='cntk'\n",
     "from keras.preprocessing import sequence\n",
     "from keras.preprocessing.text import Tokenizer, text_to_word_sequence\n",
-    "from keras.models import Sequential\n",
+    "from keras.models import Sequential, load_model\n",
     "from keras import regularizers\n",
     "from keras.optimizers import SGD\n",
     "from keras.layers import Dense, Dropout, Embedding, LSTM, Bidirectional\n",
@@ -96,7 +88,9 @@
    "cell_type": "code",
    "execution_count": 13,
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -107,7 +101,9 @@
    "cell_type": "code",
    "execution_count": 17,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -117,7 +113,10 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "Extract scores and review texts from file "
    ]
@@ -126,7 +125,9 @@
    "cell_type": "code",
    "execution_count": 60,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -140,7 +141,9 @@
    "cell_type": "code",
    "execution_count": 74,
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -151,7 +154,10 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "Remove medium rating and convert to binary classification (high vs. low rating).  "
    ]
@@ -160,7 +166,9 @@
    "cell_type": "code",
    "execution_count": 80,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -183,7 +191,10 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
    "source": [
     "Extract a balanced subsample and split into training and test sets."
    ]
@@ -208,7 +219,9 @@
    "cell_type": "code",
    "execution_count": 124,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [
     {
@@ -232,7 +245,9 @@
    "cell_type": "code",
    "execution_count": 118,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [
     {
@@ -667,7 +682,9 @@
    "cell_type": "code",
    "execution_count": 152,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [
     {