The Complete GANs Bootcamp: Theory and Applications

The Complete GANs Bootcamp: Theory and Applications, available at $39.99, has an average rating of 4.2, with 20 lectures, based on 78 reviews, and has 610 subscribers.

You will learn about Understand all the theoretical aspects in Generative Adversarial Networks (GANs) Master the practical skills in coding the Generative Adversarial Networks (GANs) This course is ideal for individuals who are curious about data sciences, neural networks, and deep learning It is particularly useful for curious about data sciences, neural networks, and deep learning.

Enroll now: The Complete GANs Bootcamp: Theory and Applications

Summary

Title: The Complete GANs Bootcamp: Theory and Applications

Price: $39.99

Average Rating: 4.2

Number of Lectures: 20

Number of Published Lectures: 20

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Understand all the theoretical aspects in Generative Adversarial Networks (GANs)
Master the practical skills in coding the Generative Adversarial Networks (GANs)

Who Should Attend

curious about data sciences, neural networks, and deep learning

Target Audiences

curious about data sciences, neural networks, and deep learning

This course is a comprehensive guide to Generative Adversarial Networks (GANs). The theories are explained in depth and in a friendly manner. After each theoretical lesson, we will dive together into a hands-on session, where we will be learning how to code different types of GANs in PyTorch, which is a very advanced and powerful deep learning framework!

The following topics will be included:

DCGANs

LSGANs

CGANs

CoGANs

SRGANs

CycleGANs

other types of GANs

Each type will include a theoretical and practical session.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Introduction to Generative Adversarial Networks

Lecture 1: What Can You Do With GANs?

Lecture 2: What Are GANs And How Do They Work?

Lecture 3: GANs Training

Chapter 3: Deep Convolution Generative Adversarial Networks (DCGANs)

Lecture 1: DCGANs Theory

Lecture 2: DCGANs – Code 1

Lecture 3: DCGANs – Code 2

Lecture 4: DCGANs – Code 3

Lecture 5: Assignment: Generate Cats' Faces Images

Lecture 6: Assignment Solution

Chapter 4: Least Square GANs

Lecture 1: LSGANs

Chapter 5: Conditional GANs

Lecture 1: CGANs Theory

Lecture 2: CGANs Code

Chapter 6: Coupled GANs

Lecture 1: CoGANs Theory

Lecture 2: CoGANs Code

Chapter 7: Super Resolution GANs

Lecture 1: SRGANs Theory

Lecture 2: SRGANs Code

Chapter 8: Cycle GANs

Lecture 1: CycleGANs Theory

Lecture 2: CycleGAN Code

Chapter 9: Other Types of GANs

Lecture 1: Other Types of GANs

Instructors

Mahmoud Elsayed
Researcher at Multimedia University

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 11 votes
4 stars: 28 votes
5 stars: 37 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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