Python Deep Learning - Second Edition

The generator in DCGAN

In the following diagram, we can see a sample generator network in the DCGAN framework:

Generator network with deconvolutional layers

As usual, the generator starts with a random latent vector, . To transform it into an image, we'll use a network with a special type of convolution operation, called transposed convolution (also known as deconvolution or fractionally-strided convolution). We briefly touched on it in Chapter 4, Computer Vision with Convolutional Networks, in the Backpropagation in convolutional layers section ...