Generative Adversarial Networks(GANs) and Style GANs - An Introduction

Описание: Generative Adversarial Networks(GANs) are unsupervised generative models where once the data is fed to the neural network, the model generates the synthetic data by understanding the pattern in the data by itself. This results in creation of realistic photos/images, audio, speech to text data and many others.
The architecture of Style GAN architecture is also explained.
#nvidia #tensorflow #pytorch #styleGAN #deeplearning #cuda #gpu