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
1,946 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:

251 - 275 of 449 Reviews for Build Basic Generative Adversarial Networks (GANs)

By Li Y

•

May 27, 2023

It is very helpful and interesting for me.

By Pablo J

•

Nov 12, 2020

Exciting start to the GANs Specialization.

By Gustavo M

•

Oct 6, 2020

Excellent. Best Lectures & Great Professor

By Mikhail O

•

Dec 28, 2020

Coding problems could be more challenging

By Deleted A

•

Dec 1, 2020

Loved this course. Such a practical one.

By Adib K

•

Sep 20, 2023

very informative, concise, and amazing!

By Matjaž M

•

Jan 2, 2021

Great course, very clear and organised!

By James H

•

Oct 16, 2020

Well-articulated and well-paced course.

By farzaneh n

•

Aug 22, 2021

Great course with thorough discussions

By Tianqi T

•

Apr 28, 2021

very intuitive lectures and assignment

By Sumit C

•

Jan 21, 2021

The curriculum was easy to understand.

By Renato O S G

•

Sep 5, 2024

Excellent course, with amazing labs!!

By JISHA R r

•

Dec 3, 2020

Excellent classes. Found very useful.

By Wenyan T

•

Sep 21, 2021

Sharon is such a great instructor!!!

By Deleted A

•

Jan 25, 2021

Very interesting and powerful course

By Michael E

•

Nov 23, 2020

Quite a good explanation of concepts

By panagiotis t

•

Jan 4, 2022

Great introductory course to GANs!!

By Ryan L

•

Jan 29, 2021

Nice one intro course. Thank u all.

By Kenneth N

•

Jun 27, 2022

exceptional and clear instructions

By Rishabh R

•

Apr 2, 2021

An awesome course to start gans!!

By Eyal G

•

Dec 8, 2020

Very nice introduction to Gans :)

By Arkadip M

•

Dec 6, 2020

Great course as an intro to GANs

By 33221012 Y B

•

Mar 16, 2022

I am very glad with this course

By Hadi S

•

May 4, 2023

It was a great start. Thanks !

By Kevin Z

•

Apr 3, 2022

Great course, clear and useful