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

1,685 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


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.


Oct 1, 2020

The course provides good insight into the world of GANs. I really enjoyed Sharon's explanations which were deep and easy to understand. I really recommend this course to anyone interested in AI.

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126 - 150 of 398 Reviews for Build Basic Generative Adversarial Networks (GANs)

By rashid a

Aug 13, 2022

Really good to the point explanations. Conceptual understaing and background in Neural networks is expected.

By Bruno A d S

Jan 16, 2021

I always found this subject confusing, today everything is easier and clearer. Great place to start studies.

By Vaseekaran V

Jun 20, 2021

Really great introduction to GANs and this course serves as an amazing refresher for Deep Learning basics.

By Lorenzo S

Mar 22, 2021

Such a great course to learn Gan design basic mechanisms: a good mix of high-level concepts, math and code!

By Paolo M

Aug 15, 2021

Very helpful and suggestive! Graded assignements ask you to have a deep understanging of what is going on.

By Paul J L I

Jan 31, 2021

This was a really great course, and the lectures presented really well. I learned a lot from this course.

By G.H L

Apr 11, 2021

It was really helpful for building my deep generative modeling skills with details and mindful examples.

By Rohak S

Feb 21, 2021

Amazing to see how the curriculum designers have distilled cutting edge resource into an online course


Nov 15, 2020

NIce course for those who want to start his/her journey towards GAN, and want to learn MAth behind it.

By Tung-Sheng H

Mar 3, 2022

A great introduction! I can easily get the general concepts about basic GANs with affordable homework

By Tze C L

May 19, 2021

An easy and friendly introduction to building your very own Generative Adversarial Networks (GANs).

By Sinan D

Dec 23, 2020

Good course but better if you get Deep Learning and CNN courses beforehand to make this more sense.

By Stephen S

Apr 3, 2022

Great course, I enjoyed the programming assignments and the topics, look forward to the next ones.

By Hitesh k B

Oct 22, 2021

No prior background required, easy to understand notebooks, optional material for advance study :)

By Akhtar M

Nov 14, 2020

It is awesome in many ways. The organization of this course makes you understand in a better way!

By Ljubiša P

Dec 27, 2020

Excellent. I found some of the cited papers hard to follow, but I am assuming that is expected.

By long s

Nov 3, 2020

Very clear instructions and easy to understand metaphors (and memes!) made this course a treat!

By Jorge A P

Oct 26, 2020

Muy buen curso, el contenido es de alta calidad que permite entender los conceptos en detalle.

By Matt S

Nov 2, 2020

Very clean explanations and programming exercises and love the knowledge checks in the videos.

By alon s

Oct 9, 2020

thank you! it was great course, learned a lot. made me realize how much potential GAN's have.

By Hila M

Dec 6, 2022

The lectures were very clear and orginized. Thank you very much.

Please add Hebrew subtitles.

By Jingjian W

Nov 8, 2020

didn't expect to learn wgan and how it solve the unstable problem of gan. That is impressive

By Jean-Marie P

Oct 25, 2020

Really interesting course. What was great was progressive increasing in difficult concepts.

By Timo “ J

Feb 4, 2021

may be irrelevant, but absolutely love Sharons manners. Very vivid and pleasant to listen.

By Vitalii L

Nov 20, 2020

Great work! And thank you for the assistance and communication (slack).I liked the course!