Image model

DCGAN

DCGAN is a convolutional GAN architecture that stabilizes training and improves image quality. It replaces fully connected layers with strided and fractionally strided convolutions, uses batch normalization and simple activation rules, and became a standard baseline for unsupervised image synthesis and feature learning.