Hands-On Generative Adversarial Networks with PyTorch

Course Overview

Generative Adversarial Networks (GANs) are a class of machine learning models used to generate data resembling a given dataset. In a GAN, two neural networks, the generator and discriminator, compete. PyTorch is a popular deep learning (DL) framework that is efficient for GAN implementation due to its dynamic computation capabilities. The course begins with GAN basics, activation functions, and model training best practices. You’ll build your first GAN with PyTorch, exploring DCGANs and conditional GANs. T...Show More