Hands-On Generative Adversarial Networks with Keras

The convolution layer

Convolutional Neural Networks (CNNs) are neural networks that learn filters, tensors in , which are convolved with the data. In the image domain, a filter is usually square and with small sizes ranging from 3 x 3 to 9 x 9 in pixel size. The convolution operation can be interpreted as sliding a filter over the data and, for each position, applying a dot product between the filter and the data at that position. The following diagram shows an intermediary step of convolution with stride 1 where the kernel in green is convolved with the first area in the data, represented by the red grid:

A special characteristic of CNNs ...