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

4.7
stars
1,947 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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226 - 250 of 449 Reviews for Build Basic Generative Adversarial Networks (GANs)

By Bob K

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Feb 25, 2021

Well constructed and explained. Very worthwhile course

By Aditya Y

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Nov 15, 2020

Fun course! I had a blast playing with various examples

By ZHOU T

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Oct 7, 2020

A very instructive course of GANs, strongly recommend !

By Daniel A

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Nov 10, 2021

Great course! But the assignments were rather simple!

By Charles X

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May 26, 2021

It's a pretty good course to get familiar with GANs.

By Yiqiao Y

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Jan 2, 2021

Highly recommended! I am learning a lot from Sharon!

By Dong Z

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Mar 22, 2024

Very good explained with well designed assignments.

By CARLOS A L F

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Jun 8, 2023

The explanations given at the course are amazing!!!

By amir h r

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Nov 24, 2022

An amazing introduction to GANs

Thank you very much

By Ái N

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Feb 16, 2021

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

By Joyce Y

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Nov 7, 2020

quite easy to follow! assignment is well explained!

By Manh T D

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Nov 3, 2022

Fantastic materials and well-prepared assignments!

By null j

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Sep 23, 2021

a very impressive introduce for a beginner in GANs

By Nazmus S

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Jul 7, 2021

great content to learn quickly hands on about GANs

By Julien

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Oct 17, 2020

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

By Evgenii T

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Jan 31, 2021

Easy yet fundamental enough for an eager learner.

By Dmitriy K

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Jul 5, 2023

great course, interesting topic and assignments.

By Victor v d B

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Oct 8, 2020

Super easy going introduction into GANs. Thanks!

By M. H A P

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Mar 30, 2021

Excellent course to gain my knowledge about GAN

By Neeraj P

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Dec 28, 2020

Really helps demystify GANs and how to use GANs

By Wong H S

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Dec 11, 2020

Very detailed and attractive course, thank you!

By Ibrahim S

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Jan 21, 2021

Great content presented in a very simple way.

By Ammar T

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Nov 6, 2020

Exceptionally well and I like the fourth week

By Adam M

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Jun 12, 2021

Amazing intro to GANs and well prepared labs

By Ahsan G

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Oct 29, 2020

It was a really fun and interesting course.