diff --git a/Chapter03/Activity3.02/Activity3_02.ipynb b/Chapter03/Activity3.02/Activity3_02.ipynb
index 0ceb2940..3f41e604 100755
--- a/Chapter03/Activity3.02/Activity3_02.ipynb
+++ b/Chapter03/Activity3.02/Activity3_02.ipynb
@@ -137,7 +137,7 @@
    ],
    "source": [
     "np.random.seed(seed)\n",
-    "\n",
+    "random.set_seed(seed)\n",
     "# define the keras model\n",
     "classifier = Sequential()\n",
     "classifier.add(Dense(units = 3, activation = 'tanh', input_dim=X_train.shape[1]))\n",
@@ -269,13 +269,7 @@
       "997/997 [==============================] - 0s 48us/step - loss: 0.6854 - accuracy: 0.5617 - val_loss: 0.6730 - val_accuracy: 0.6036\n",
       "Epoch 56/100\n",
       "997/997 [==============================] - 0s 51us/step - loss: 0.6852 - accuracy: 0.5627 - val_loss: 0.6730 - val_accuracy: 0.5946\n",
-      "Epoch 57/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Epoch 57/100\n",
       "997/997 [==============================] - 0s 49us/step - loss: 0.6850 - accuracy: 0.5637 - val_loss: 0.6729 - val_accuracy: 0.5946\n",
       "Epoch 58/100\n",
       "997/997 [==============================] - 0s 48us/step - loss: 0.6849 - accuracy: 0.5607 - val_loss: 0.6729 - val_accuracy: 0.5946\n",
@@ -597,13 +591,7 @@
       "997/997 [==============================] - 0s 53us/step - loss: 0.6918 - accuracy: 0.5316 - val_loss: 0.6894 - val_accuracy: 0.5225\n",
       "Epoch 56/100\n",
       "997/997 [==============================] - 0s 52us/step - loss: 0.6917 - accuracy: 0.5316 - val_loss: 0.6894 - val_accuracy: 0.5315\n",
-      "Epoch 57/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Epoch 57/100\n",
       "997/997 [==============================] - 0s 52us/step - loss: 0.6917 - accuracy: 0.5306 - val_loss: 0.6894 - val_accuracy: 0.5315\n",
       "Epoch 58/100\n",
       "997/997 [==============================] - 0s 54us/step - loss: 0.6916 - accuracy: 0.5296 - val_loss: 0.6894 - val_accuracy: 0.5225\n",