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Back to Apply Generative Adversarial Networks (GANs)

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

430 ratings

About the Course

In this course, you will: - Explore the applications of GANs and examine them wrt data augmentation, privacy, and anonymity - Leverage the image-to-image translation framework and identify applications to modalities beyond images - Implement Pix2Pix, a paired image-to-image translation GAN, to adapt satellite images into map routes (and vice versa) - Compare paired image-to-image translation to unpaired image-to-image translation and identify how their key difference necessitates different GAN architectures - Implement CycleGAN, an unpaired image-to-image translation model, to adapt horses to zebras (and vice versa) with two GANs in one 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


Dec 5, 2020

I really liked the exposure to preparing various loss functions in paired and non-paired GANs, introduction to other applications, and many great changes to improve the quality of the networks!


Jan 23, 2021

GANs are awesome, solving many real-world problems. Especially unsupervised things are cool. Instructors are great and to the point regarding theoretical and practical aspects. Thankyou!

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51 - 75 of 90 Reviews for Apply Generative Adversarial Networks (GANs)

By Paritosh B

Dec 5, 2020

Great content. Thanks a lot for creating this wonderful course. :)

By Rohan H J

Aug 3, 2021

Very detailed study. A must learn for people working with GANs

By Shivender K

Jan 24, 2021

Very complex specialization but significantly helpful

By Samuel K

Mar 4, 2021

Awesome course! Direct application to my research!

By nghia d

Dec 21, 2020

amazing course! thanks coursea, thanks Instructors

By Евгений Ц

Jan 31, 2021

Easy yet fundamental enough for an eager learner.

By Shams A

Jul 23, 2021

Amazing course. Thanks so much for offering it!

By Ali G

Jul 22, 2021

Very informative and easy-to-understand!

By Gokulakannan S

Dec 26, 2020

Nice course enjoyed it a lot. Thanks!

By James H

Nov 17, 2020

Very thorough and clearly explained.

By Xiaoyu X

Aug 1, 2021

Very good lectures and assignments!

By Kenneth N

Jun 27, 2022

exceptional and clear instructions

By Jesus A

Nov 22, 2020

Great applications cases of GANs

By Dela C F S

Jun 6, 2021

Full of amazing content! :D

By Manuel R

Mar 30, 2021

It was a nice experience!

By amadou d

Mar 11, 2021

Excellent! Thank You all!

By brightmart

Nov 11, 2020


By Cường N N

Dec 8, 2020

This course is very good

By 晋习

Oct 17, 2021

data augment is helpful

By M. H A P

Apr 7, 2021

What a great course

By Diego C N

Nov 1, 2020

An amazing Course

By Tim C

Dec 8, 2020

Incredible! :)

By Vishnu N S

Jul 26, 2021

Great Course

By Vignesh M

Nov 26, 2020


By Kuro N

Jul 25, 2021