Implementing GANs Algorithm in Python
Case Introduction Generative Adversarial Networks (GANs) are a type of deep learning model consisting of a generator network and a discriminator network. They improve their capabilities through adversarial training, competing against each other. The generator network attempts to produce samples that resemble real data, while the discriminator network tries to distinguish between samples generated by … Read more