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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.

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151 - 175 of 437 Reviews for Build Basic Generative Adversarial Networks (GANs)

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 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!

By Dhritiman S

Oct 31, 2020

Good course! I enjoyed the use of PyTorch and the bottom up foundational knowledge of GANs

By Vincent K

May 27, 2023

Sharon Zhou is the best lecturer on Coursera. This was easily one of my favorite courses.

By Mahmood B

Jan 13, 2023

This course is so practical, It will learn you many things that you can use in real work.

By David T

Oct 8, 2020

Great Introduction to the material. Assignments connected well with the lecture material.

By Olivier M

Oct 18, 2020

As usual with deeplearning.ai, amazing course. Very useful for discover the world of GAN

By Jing L

May 26, 2021

As an introduction course for GANs it is pretty good, the assignment is a bit too easy.

By Xiaoyu X

May 22, 2021

Great course for GANs. The assignments are really helpful. The lectures are very clear.

By Samrat S

Jul 7, 2021

Very basic overview of Gan, which ignores lots of Math depth.. But good for beginners.

By Nicolas D

Nov 13, 2020

Very interesting course which helps to make a good intuition on what happens. Thanks!

By Sina A

Dec 30, 2020

Very well-organized course with easy to grasp lectures and deepening assignments.

By MICHAEL D S R

Oct 25, 2020

Excellent course management! But it is a bit too fast for non-english speakers :)

By José J F G V

Jan 6, 2022

Good Course. I enjoy how the instructors adapt theory with practical exercises.

By Shahir A

Jun 14, 2021

Thank you so much Coursera. The teacher was amazing. The problems were as well.