Description
Complete GANs Bootcamp: Theory and Applications, This course is a comprehensive guide to Generative Adversarial Networks (GANs). Theories are explained in depth and in a friendly way. After each theoretical lesson, we will attend a practical session together where we will learn how to code different types of GANs in PyTorch, a very advanced and powerful deep learning framework. The following topics will be covered: DCGANs, LSGANs, CGANs, CoGANs, SRGANs, CycleGANs, Other types of GANs. Each type will include a theoretical and practical session.
What you will learn
- Understand all the theoretical aspects in Generative Adversarial Networks (GANs)
- Master practical skills in coding Generative Adversarial Networks (GANs)
Who is this course for
- Curious about data science, neural networks, and deep learning
Complete GANs Bootcamp Highlights: Theory and Applications
- Publisher: Udemy
- Teacher: Mahmoud AlSayed
- language English
- Level: Beginner
- No. of Courses: 20
- Duration: 2 hours 50 minutes
Contents of the Complete GANs Bootcamp: Theory and Applications
Requirements
- Understanding the fundamentals of neural networks, convolutional neural networks, deep learning.
- Basic programming experience (preferably in Python)
- Basic High School Math
Pictures
Sample clip
installation Guide
Extract files and watch with your favorite player
Subtitles: English
Quality: 720p
Download links
Password File(s): free download software
file size
1.08 GB