.
activation="relu"), tf.keras.layers.MaxPool2D(pool_size=2, # pool_size can also be (2, 2) padding="valid"), # padding can also be 'same' tf.keras.layers.Conv2D(10, 3, activation="relu"), tf.keras.layers.Conv2D(10, 3, activation="relu"), # activation='relu' == tf.keras.layers.Activations(tf.nn.relu)