Efficient, Simplistic Training Pipelines for GANs in the Cloud with Paperspace

Generative adversarial networks -- GANs for short -- are making waves in the world of machine learning. Yann LeCun, a legend in the deep learning community, said in a Quora post "[GANs are] the most interesting idea in the last 10 years in [machine learning]." GANs (and, more generally, neural networks) can be confusing at first. But developers have created lots of great frameworks for training pre-configured models efficiently. We'll examine a package built by Hyeonwoo Kang at Catholic University of Korea that wraps PyTorch implementations for ten different types of GANs in an easy-to-use interface.