Network, Neural, Python, Convolutional.
model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(64, 64, 3))) # Example input shape of (64, 64, 3) Adding Pooling Layer We follow the convolutional layers with a pooling layer using the MaxPooling2D function to reduce the spatial dimensions of the output volume.