Introduction to Generative Adversarial Networks
Coupon Waali days
0
0
hours
0
0
minutes
0
0
seconds
0
0
Deal Score0
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:
- 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.
Who this course is for:
- People, who already know Deep Learning and want to study Generative Adversarial Networks
+ See more
