Tag Archives: pytorch

CatGAN – Cat Faces Generative Adversarial Networks Conditional GAN Using Pytorch

Released CatGan code. This was done as last assignment for NYU Deep Learning course, taught by Yann Lecun. This is a conditional GAN, and can train it to generate 4 different types of cats i.e. white, golden, black and mix.


The following is output conditioned on golden cats. By favorite one is 3rd one from the right in the first row. Everytime the GAN is run it will generate unique cats like these. For more cats visit the github page.

Golden Cats from CatGAN

Golden Cats from CatGAN