Building GAN with PyTorch

Description
Speaker
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.
Reza Katebi

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
  • Date:

    2018-12-10 10:00 PT
  • Fee:

    Free
  • Available Seats

    3
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