Fix parameters description (#185)

notebooks/3_NeuralNetworks/convolutional_network.ipynb

@@ -103,7 +103,7 @@
     "        # Max Pooling (down-sampling) with strides of 2 and kernel size of 2\n",
     "        conv1 = tf.layers.max_pooling2d(conv1, 2, 2)\n",
     "\n",
-    "        # Convolution Layer with 32 filters and a kernel size of 5\n",
+    "        # Convolution Layer with 64 filters and a kernel size of 3\n",
     "        conv2 = tf.layers.conv2d(conv1, 64, 3, activation=tf.nn.relu)\n",
     "        # Max Pooling (down-sampling) with strides of 2 and kernel size of 2\n",
     "        conv2 = tf.layers.max_pooling2d(conv2, 2, 2)\n",