How to Develop a 1D Generative Adversarial Network From Scratch in Keras
Generative Adversarial Networks, or GANs for short, are a deep learning architecture for training powerful generator models. A generator model is capable of generating new artificial samples that p...
Source: machinelearningmastery.com
Generative Adversarial Networks, or GANs for short, are a deep learning architecture for training powerful generator models. A generator model is capable of generating new artificial samples that plausibly could have come from an existing distribution of samples. GANs are comprised of both generator and discriminator models. The generator is responsible for generating new samples […]