Udemy – Generative Adversarial Networks (GANs): Complete Guide 2023-11

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Apr 17, 2025 - 12:00 Updated: Apr 20, 2025 - 22:08

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Udemy – Generative Adversarial Networks (GANs): Complete Guide 2023-11

Generative Adversarial Networks (GANs): Complete Guide, GANs (Generative Adversarial Networks) are considered one of the most modern and fascinating technologies within the field of Deep Learning and Computer Vision. They have gained a lot of attention because they can create fake content. One of the most classic examples is the creation of people who do not exist in the real world to be used to broadcast television programs. This technology is considered a revolution in the field of Artificial Intelligence for producing high quality results, remaining one of the most popular and relevant topics.

In this course you will learn the basic intuition and mainly the practical implementation of the most modern architectures of Generative Adversarial Networks! This course is considered a complete guide because it presents everything from the most basic concepts to the most modern and advanced techniques, so that in the end you will have all the necessary tools to build your own projects. To implement the projects, you will learn several different architectures of GANs, such as: DCGAN (Deep Convolutional Generative Adversarial Network), WGAN (Wassertein GAN), WGAN-GP (Wassertein GAN-Gradient Penalty), cGAN (conditional GAN), Pix2Pix (Image-to-Image), CycleGAN (Cycle-Consistent Adversarial Network), SRGAN (Super Resolution GAN), ESRGAN (Enhanced Super Resolution GAN), StyleGAN (Style-Based Generator Architecture for GANs), VQ-GAN (Vector Quantized Generative Adversarial Network), CLIP (Contrastive Language–Image Pre-training), BigGAN, GFP-GAN (Generative Facial Prior GAN), Unlimited GAN (Boundless) and SimSwap (Simple Swap).

What you’ll learn

Understand the basic intuition about GANs
Generate images of digits (0 – 9) using DCGAN and WGAN
Transform satellite images into maps using Pix2Pix architecture
Transform zebras into horses using CycleGAN architecture
Transfer styles between images
Apply super resolution to improve image quality using ESRGAN architecture
Create new faces of people with high quality and definition using StyleGAN
Generate images through textual descriptions
Restore old photos using GFP-GAN
Complete missing parts of images using Boundless architecture
Generate deepfakes to swap faces with SimSwap

Who this course is for

People interested in creating complex applications using GANs
Undergraduate and graduate students who are taking courses on Computer Vision, Artificial Intelligence, Digital Image Processing or Computer Vision
People who want to implement their own projects using Computer Vision techniques
Data Scientists who want to increase their project portfolio

Specificatoin of Generative Adversarial Networks (GANs): Complete Guide

Publisher : Udemy
Teacher : Jones Granatyr , Gabriel Alves , AI Expert Academy
Language : English
Level : All Levels
Number of Course : 112
Duration : 16 hours and 48 minutes

Content

Generative Adversarial Networks (GANs): Complete Guide

Requirements

Programming logic
Basic Python programming
Knowledge about neural networks is desirable, but not mandatory

Pictures

Generative Adversarial Networks (GANs): Complete Guide

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Changes:

Version 2023/11 compared to 2023/4 has increased the number of 56 lessons and the duration of 6 hours and 53 minutes. English subtitles have also been added to the course.

Udemy – Generative Adversarial Networks (GANs): Complete Guide 2023-11