Reza demonstrates how Generative Adversarial Networks (GANs) work, and how to implement them. He will teach us how a game theory idea turned into an AI algorithm that can fake images so well that they can fool humans.
Then we will learn how to implement a simple GAN using Pytorch, Tensorflow, and a Jupyter Notebook with the MNIST dataset.
Feel free to work on your laptop with Pytorch, Tensorflow, and Jupyter Notebook installed, if you want to follow along with the demo.
I am an astrophysicist and I have been studying black holes since I was 18 years old. I have been working on deep learning and its usage in astronomy