Introduction to Generative Adversarial Networks


Introduction to Generative Adversarial Networks

How to generateΒ  images from noise? Is it really possible?

Generative Adversarial Networks were invented in 2014 and since that time it is a breakthrough in the Deep Learning for generation of new objects. And in this free course, you can study GANs framework.

This course has rather strong prerequisites:

  • Deep Learning and Machine Learning

  • Matrix Calculus

  • Probability Theory and Statistics

Here are tips for taking most from the course:

  1. If you don’t understand something, ask questions. In case of common questions I will make a new video for everybody.

  2. Use handwritten notes. Not bookmarks and keyboard typing! Handwritten notes!

  3. Don’t try to remember all, try to analyse the material.