Udemy – Deep Learning Image Generation with GANs and Diffusion Model 2023-2

Udemy – Deep Learning Image Generation with GANs and Diffusion Model 2023-2 Downloadly IRSpace

Apr 17, 2025 - 11:00 Updated: Aug 17, 2025 - 11:33

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Udemy – Deep Learning Image Generation with GANs and Diffusion Model 2023-2

Deep Learning Image Generation with GANs and Diffusion Model is a training course on building a random image generation system based on deep learning using competitive generative networks (GAN) and diffusion models published by Udemy Academy. Intelligent image production and recognition systems are equipped with various capabilities such as creating completely realistic and natural faces, metadissolving and increasing image resolution, removing masks from faces, etc. Image production systems have traveled a tortuous path so far. Until just 10 years ago, it was not possible to produce random three by four images, but with today’s advanced systems and software, people can easily create several thousand random images in a few minutes. New systems have gone even further and users can get the image they need by describing a face in text.

During the educational process of this course, you will use the powerful Tensorflow version 2 library extensively.

What you will learn in Deep Learning Image Generation with GANs and Diffusion Model:

Getting to know the working process of the variable autoencoder
Automatic creation of images with variable autoencoder
Generative Adversarial Networks
Tensorflow library
Create quality and professional images with ProGAN
Development of face mask removal system with CycleGANs
Metaresolvability and resolution improvement of different images with SRGANs
And …

Course specifications

Publisher: Udemy
Instructors: Neuralearn Dot AI
Language: English
Level: Introductory to Advanced
Number of Lessons: 27
Duration: 10 hours and 7 minutes