Description
Deepfakes has caused a huge stir over the past few years. Generative Adversarial Networks (GANs) are the cause of it all. GANs are a type of deep neural network that can generate new data. GANs comprise of two competing networks and the results, especially in creating new images are truly astounding.
This talk will introduce deep learning and how GANs work, highlighting application areas. Most importantly it will provide a hands-on implementation of GANs using Pytorch. With the tips and tricks from this talk, you’ll be ready to start experimenting with GANs!