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

4.7
stars
1,053 ratings
265 reviews

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

MS
Oct 10, 2020

great course, only teaching what's needed, doesn't push you a lot in the coding assignments, as much as it requires you much more work to understand the codes and the science behind it.

DP
Oct 6, 2020

Excellent course. The videos were a pleasure to watch, the assignments were clear and allowed you to go as shallow or as in depth as you desired, and the mentors were very helpful.

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151 - 175 of 264 Reviews for Build Basic Generative Adversarial Networks (GANs)

By Bob K

Feb 25, 2021

Well constructed and explained. Very worthwhile course

By Aditya Y

Nov 15, 2020

Fun course! I had a blast playing with various examples

By ZHOU T

Oct 7, 2020

A very instructive course of GANs, strongly recommend !

By Yiqiao Y

Jan 2, 2021

Highly recommended! I am learning a lot from Sharon!

By Ai N

Feb 16, 2021

Well-planned materials and easy-to-follow lectures.

By Joyce Y

Nov 7, 2020

quite easy to follow! assignment is well explained!

By Julien

Oct 17, 2020

Un cours impressionnant par sa clarté. J'ai adoré.

By Eugene T

Jan 31, 2021

Easy yet fundamental enough for an eager learner.

By Victor v d B

Oct 8, 2020

Super easy going introduction into GANs. Thanks!

By M. H A P

Mar 30, 2021

Excellent course to gain my knowledge about GAN

By Neeraj P

Dec 28, 2020

Really helps demystify GANs and how to use GANs

By Hao S

Dec 11, 2020

Very detailed and attractive course, thank you!

By Ibrahim S

Jan 21, 2021

Great content presented in a very simple way.

By Ammar T

Nov 6, 2020

Exceptionally well and I like the fourth week

By Ahsan G

Oct 29, 2020

It was a really fun and interesting course.

By JP A

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 Matjaž M

Jan 2, 2021

Great course, very clear and organised!

By James H

Oct 16, 2020

Well-articulated and well-paced course.

By Tianqi T

Apr 28, 2021

very intuitive lectures and assignment

By sumit c

Jan 21, 2021

The curriculum was easy to understand.

By JISHA R r

Dec 3, 2020

Excellent classes. Found very useful.

By Deleted A

Jan 25, 2021

Very interesting and powerful course