diff --git a/week_4/week_4_deepLearning.ipynb b/week_4/week_4_deepLearning.ipynb
index f53027d..018a58e 100644
--- a/week_4/week_4_deepLearning.ipynb
+++ b/week_4/week_4_deepLearning.ipynb
@@ -770,12 +770,12 @@
     "* `nn.LogSoftmax()`: Multiclass prediction probability normalization (0-1)\n",
     "\n",
     "**First Convolution Layer**\n",
-    "- 2d convolution of in(1), out(2), kernel size(4)\n",
+    "- 2d convolution of in(1), out(4), kernel size(4)\n",
     "- 2d maxpooling (2,2)\n",
     "- Activation function\n",
     "\n",
     "**Second Convolution Layer**\n",
-    "- 2d convolution of in(2), out(4), kernel size(4)\n",
+    "- 2d convolution of in(2), out(8), kernel size(4)\n",
     "- 2d maxpooling (2,2)\n",
     "- Activation function\n",
     "\n",
diff --git a/week_4/week_4_deepLearning_solns.ipynb b/week_4/week_4_deepLearning_solns.ipynb
index cc05232..c4ec283 100644
--- a/week_4/week_4_deepLearning_solns.ipynb
+++ b/week_4/week_4_deepLearning_solns.ipynb
@@ -861,12 +861,12 @@
     "* `nn.LogSoftmax()`: Multiclass prediction probability normalization (0-1)\n",
     "\n",
     "**First Convolution Layer**\n",
-    "- 2d convolution of in(1), out(2), kernel size(4)\n",
+    "- 2d convolution of in(1), out(4), kernel size(4)\n",
     "- 2d maxpooling (2,2)\n",
     "- Activation function\n",
     "\n",
     "**Second Convolution Layer**\n",
-    "- 2d convolution of in(2), out(4), kernel size(4)\n",
+    "- 2d convolution of in(4), out(8), kernel size(4)\n",
     "- 2d maxpooling (2,2)\n",
     "- Activation function\n",
     "\n",
@@ -1305,7 +1305,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -1319,7 +1319,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,