Introduction to Generative Adversarial Networks

Image Generation with Generative Adversarial Networks – Free Course

Deal Score+4

What you’ll learn

  • Generative Adversarial Networks

Requirements

  • Probability theory, Statistics
  • Machine Learning, Deep Learning
  • Python
  • Matrix Calculus

Description

How to generate 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.

Coupon Scorpion