Chevron Left
Back to Build Basic Generative Adversarial Networks (GANs)

Learner Reviews & Feedback for Build Basic Generative Adversarial Networks (GANs) by DeepLearning.AI

4.7
stars
1,868 ratings

About the Course

In this course, you will: - Learn about GANs and their applications - Understand the intuition behind the fundamental components of GANs - Explore and implement multiple GAN architectures - Build conditional GANs capable of generating examples from determined categories The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more. Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs. This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research....

Top reviews

KM

Jul 20, 2023

Helped me clarify the some of key principles and theories behind GAN and bit of history... The references/additional study materials are very useful, if you want to dig deep into. Overall very pleased

HL

Mar 10, 2022

Great introductory to GANs, focused on the building blocks to neural net/ GANs, and a bit of frequently used models. Might need a small update on what's considered "state-of-the-art" in the course.

Filter by:

301 - 325 of 437 Reviews for Build Basic Generative Adversarial Networks (GANs)

By David D

Jun 9, 2021

excellent course!

By Md. Z H

Jul 9, 2023

Excellent course

By Lin S

Jan 15, 2022

Thanks very much!

By Luis M C S

Nov 9, 2020

hard but worth it

By Josué G

Mar 29, 2021

Excelente curso.

By Robin S

Dec 20, 2020

Truly brilliant

By Shan-Jyun W

Mar 11, 2022

Great content!

By Md A R (

Feb 23, 2021

Amazing Course

By stephane d

Nov 5, 2022

Great Course!

By 胡冰

May 15, 2021

Great course.

By Wildson B B L

Jan 2, 2021

Great course!

By Victor d l C

Oct 11, 2020

Excellent!!!!

By Hamidreza Z

Jun 3, 2022

great topics

By S A

Jun 1, 2021

It was good!

By Irving G B P

Apr 17, 2021

Amazing work

By Lâm Đ A

Jan 5, 2021

Good course

By Yashwanth M N

Jun 17, 2023

superb...!

By Jose L L d J S

Oct 21, 2021

Excelent!

By Rajesh R

Aug 24, 2022

Awesome!

By Lucas V S P

Oct 19, 2021

Very good

By Andrew C

Nov 24, 2020

Loved it.

By Black H

Feb 1, 2021

great !!

By Maciej A

Oct 11, 2020

Awesome!

By Hiroyuki T

Dec 31, 2021

amazing

By Ms. N A A

Dec 24, 2020

Thanks