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

4.7
stars
1,913 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

MS

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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.

DA

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Great course to start building GANs.

I wish more math was included. I realize the math behind this is very complex, and not everyone wants to know about that.

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426 - 446 of 446 Reviews for Build Basic Generative Adversarial Networks (GANs)

By Naveed M

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Jul 1, 2021

The programming assignments can be improved by designing it in such a way that most of the work should be done learner not by the course designer. I hope you change it in future.

By Aaron S

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Apr 18, 2021

Basically good, however the programming assignments are incredibly trivial compared to other machine learning courses I've taken on Coursera.

By Laura C

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Feb 25, 2023

I would have liked to have more theoretical details on the mathematical point of view of the topics covered by this course

By Yasushi Y

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Oct 8, 2023

I don't know what the instructor is hurrying about. In terms of clarity, she is not even close to Andrew.

By YutaoLAN

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Oct 9, 2020

be unfamiliar with english and unlike Andrew use mathematical formula , so i learn a little hard

By vishal

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Aug 1, 2021

Can be more detail. In week 3 and 4, there is not much information shared/taught.

By Bedrich P

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Aug 21, 2021

I don't like the style of programming assignments, otherwise good

By Michael K

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Oct 12, 2020

Great intuitive explanations but it is too easy

By Keebeom Y

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Aug 17, 2021

She talks too fast! Please slow down!

By Christoffer M

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Mar 4, 2021

The GANs in the course are basic as advertised, but unfortunately the treatment of the theory is basic and shallow as well. The lab assignments are too simplistic to force any deeper understanding.

By Shiblee S

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Aug 24, 2023

The assignment on the week 3 didn't compile. Probably some version mismatch issue.

The instructor didn't go into the details of the some of the key concept, they kept it very vague

By Daniil K

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Aug 28, 2021

The course if very interesting, but unfortunately after the completion you lose the access to assignments and the only way to restore it is to subscribe again.

By Fatemeh A

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Jun 11, 2021

It was too high level without mentioning the math behind the theories. The codes were too simple and not challenging. The instructor was speaking too fast.

By Yu G

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Jan 17, 2021

Homework size are TOO large! One star given. One additional for that this course is highly challenging.

By Brian M

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Mar 6, 2023

Not much value in auditing this class w/o access to the coursework itself.

By Alexander K

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Jun 3, 2023

After week 1, not sure what the objective of this course is, seems this is more about PyTorch.

The course material about the concept of GANs is actually quite good, but the assignments are near impossible for me as I am not a PyTorch expert. Trying to figure out the syntax, not really what I was looking for.

A couple of years back, I completed one of their earlier courses (Machine Learning) and it didn’t use any language, but essentially a MatLab like environment to manipulate matrices and vectors.

No sweat, I’ll just cancel the subscription and find another way to learn this stuff.

By Ranga R S

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Feb 11, 2021

Had to pause multiple times to listen again or read the English translation at the bottom. Slowing down the lecture along with proper pauses and meaningful visual illustrations can improve this course in a big way.

Content of this course is good, but the way it is presented leaves much to be desired

By Michael S

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Feb 7, 2021

The coding exercises seem completely unguided by the course, and feel like a waste of my time.

I'm not going to pay you for the time I spend studying pytorch.org

By joseph z

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May 15, 2023

thanks for the hard work, but I feel a lot of places not explained clearly, and the assignment is also not that helpful

By Hunny G

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Sep 24, 2024

how can i create my first GAN without guidence.

By Scott A

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Jul 20, 2021

Way, way, way too light on the details