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Back to Apply Generative Adversarial Networks (GANs)

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

4.8
stars
537 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 Ge...
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Top reviews

PK

Feb 2, 2021

I really enjoyed the content of the 3rd course in this specialisation. The only wish I have for the future courses is for them to be in HD, it's 2021, come on, apply some SuperRes GANs already ;)

UD

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!

Filter by:

51 - 75 of 101 Reviews for Apply Generative Adversarial Networks (GANs)

By Serge T

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Nov 18, 2020

Great course and a fantastic Specialisation! Would recommend to everyone interested!

By Antoreep J

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Apr 24, 2021

Course 3 was better than Course 2. Course 2's assignments were bit confusing.

By Matthew B E R

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Nov 28, 2020

A wonderful course, which serves as a great conclusion to the specialization.

By Asaad M A A

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Sep 13, 2021

I really enjoyed taking this course. I want to thank all the instructors.

By Hoda F

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Sep 8, 2022

I really enjoyed the course!

I hope you add new matrial to the course.

By Charlie J

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Nov 26, 2021

Incredible course. Thorough yet understandable for anyone interested

By Paritosh B

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Dec 5, 2020

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

By Rohan H J

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Aug 3, 2021

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

By Shivender K

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Jan 24, 2021

Very complex specialization but significantly helpful

By Samuel H K

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Mar 4, 2021

Awesome course! Direct application to my research!

By nghia d

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Dec 21, 2020

amazing course! thanks coursea, thanks Instructors

By Evgenii T

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Jan 31, 2021

Easy yet fundamental enough for an eager learner.

By Shams A

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Jul 23, 2021

Amazing course. Thanks so much for offering it!

By Ali G

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Jul 22, 2021

Very informative and easy-to-understand!

By Gokulakannan S

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Dec 26, 2020

Nice course enjoyed it a lot. Thanks!

By James H

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Nov 17, 2020

Very thorough and clearly explained.

By Xiaoyu X

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Aug 1, 2021

Very good lectures and assignments!

By Emmanuelle S

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Jun 29, 2023

Excellent conclusion to the series

By Kenneth N

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Jun 27, 2022

exceptional and clear instructions

By Parma R R

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May 10, 2023

Very good and well design course!

By Jesus A

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Nov 22, 2020

Great applications cases of GANs

By Linjun Y

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Aug 17, 2022

Great course for everyone!

By Dela C F S (

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Jun 6, 2021

Full of amazing content! :D

By Manuel R

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Mar 30, 2021

It was a nice experience!

By amadou d

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Mar 11, 2021

Excellent! Thank You all!