pong cnn todo fix

Author: jmoseyko

lab3/Lab3_rl.ipynb

@@ -691,14 +691,14 @@
         "      \n",
         "      # Convolutional layers\n",
         "      tf.keras.layers.Conv2D(filters=16, kernel_size=(8,8), strides=(4,4), activation='relu', padding='same'),\n",
-        "      '''TODO: define a convolutional layer with 32 4x4 filters and 2x2 stride, ReLu activation'''\n",
+        "      # TODO: define a convolutional layer with 32 4x4 filters and 2x2 stride, ReLu activation\n",
         "      tf.keras.layers.Conv2D('''TODO''', '''TODO''', '''TODO''', '''TODO''', padding='same'), # TODO\n",
         "      tf.keras.layers.Flatten(),\n",
         "      \n",
         "      # Fully connected layer and output\n",
         "      tf.keras.layers.Dense(units=256, activation='relu'),\n",
-        "      '''TODO: define the output dimension of the last Dense layer\n",
-        "      Hint: think about that the space the agent needs to act in'''\n",
+        "      # TODO: define the output dimension of the last Dense layer\n",
+        "      # Hint: think about that the space the agent needs to act in\n",
         "      tf.keras.layers.Dense('''TODO''', activation=None) # TODO\n",
         "  ])\n",
         "  return model\n",