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

4.7
stars
1,105 ratings
275 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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126 - 150 of 275 Reviews for Build Basic Generative Adversarial Networks (GANs)

By Sina A

Dec 30, 2020

Very well-organized course with easy to grasp lectures and deepening assignments.

By MICHAEL D S R

Oct 25, 2020

Excellent course management! But it is a bit too fast for non-english speakers :)

By Priscilla P L

Jan 23, 2021

Sharon's videos are so polished and digestible. Everything is explained so well.

By Michael C E

May 1, 2021

This course was an eye opener and I have had a better understanding of GANs now

By FAIRUZ F S 0

Apr 26, 2021

Its so excited to finish this course and i also learn this for my final project

By Gokulakannan S

Dec 9, 2020

Nice Course but the interpolation technique didn't work in Week 4 assignment 1.

By Wilson F

Nov 3, 2020

Good content. Assignments are made to be doable in a reasonable amount of time.

By manohar2000

Oct 17, 2020

Excellent and disentangled course like the style gan. Really neat explanations.

By Diego M G S

Oct 7, 2020

una profesora increíble, muy facil de entender la teoria, no tanto las formulas

By Marcin Z

Nov 26, 2020

Great course, much better than NLP one. They use PyTorch here which is a plus.

By Vishal K

Nov 18, 2020

Excellent course to understand the basics of GAN and also do cool assignments!

By Blanca H V G

Dec 18, 2020

Great course. Sharon is a good teacher. Thank you for all material and codes!

By Adam R R - A

Nov 16, 2020

This was a pretty simple, understandable introduction to GANs. I enjoyed it.

By brightmart

Oct 7, 2020

Excellent! Easy to understand, and can get hand-on experience of basic GANs.

By Horváth K

Apr 9, 2021

I wish I could have the same quality courses at my university as well.

By Oleksandr M

Dec 21, 2020

Great course! An excellent starting point for exploring GANs. Thanks!

By Tim C

Dec 8, 2020

An absolutely fantastic course with a lot of details and applications

By Shivender K

Nov 22, 2020

I had a very good hand on experience on GAN with weekly assignments.

By AKASH C

Oct 9, 2020

A great introductory lesson on GANs. Coding exercises where amazing.

By Junaid W

May 30, 2021

Well Organized and to the point course. Thank you for making it

By Amr A

Oct 9, 2020

Well organized and informative course on GANs. Thanks very much

By Adarsh W

Jan 11, 2021

Great introduction to GANS but difficult programming exercise.

By Md A A M

Mar 17, 2021

Best course. Best Instructor. Best Labs. Highly recommended.

By Rajinder S

May 7, 2021

Absolutely engaging and digestible introduction to GANs!!