/Gans

Reimplementation of papers on DCGAN and CycleGAN.

Primary LanguageJupyter Notebook

GENERATIVE ADVERSARIAL NETWORKS

This is reimplementation of research paper on GANS

RESULTS

This is the generated output from 64*100 random noise after 5 epochs.

LOSSES