Introduction to Generative Adversarial Networks
Image Generation with Generative Adversarial Networks – Free Course
What you’ll learn
- Generative Adversarial Networks
- Probability theory, Statistics
- Machine Learning, Deep Learning
- Matrix Calculus
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
Probability Theory and Statistics
Here are tips for taking most from the course:
If you don’t understand something, ask questions. In case of common questions I will make a new video for everybody.
Use handwritten notes. Not bookmarks and keyboard typing! Handwritten notes!
Don’t try to remember all, try to analyse the material.