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Back to Build Better Generative Adversarial Networks (GANs)

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

4.7
stars
678 ratings

About the Course

In this course, you will: - Assess the challenges of evaluating GANs and compare different generative models - Use the Fr茅chet Inception Distance (FID) method to evaluate the fidelity and diversity of GANs - Identify sources of bias and the ways to detect it in GANs - Learn and implement the techniques associated with the state-of-the-art StyleGANs 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

PK

Jan 26, 2021

I found that week 2 in this course is very abstract and non-technical thus I didn't like it. Week 1 and 3 were filled with relevant information and the final assignments were quite nice to accomplish.

MB

Aug 26, 2023

This course has helped me to dive deeper into the world of Generative AI through GANs and know what they can do and what are the advantages, benefits and disadvantages at the same time.

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51 - 75 of 100 Reviews for Build Better Generative Adversarial Networks (GANs)

By Md. A A M

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Mar 13, 2021

Wonderful. Really Enjoying the whole time when I start to learn GANs.

By Olivier M

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Oct 24, 2020

Amazing lectures on very complex topics. Thanks a lot deeplearning.ai

By Deleted A

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Jan 29, 2021

Very clear and complete overview of recent advancements in GANs.

By Shivender K

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Dec 31, 2020

Highly complex and interesting course to build GAN knowledge.

By matan

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Dec 10, 2021

Great course, Would be great if it would be more formal

By Evgenii T

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Jan 31, 2021

Easy yet fundamental enough for an eager learner.

By Jorge P

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Nov 23, 2020

Excelente contenido, me encantan las actividades.

By M. H A P

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Apr 6, 2021

This course so helpful for my research

By Gokulakannan S

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Dec 24, 2020

Nice course. Enjoyed every bit of it@

By Ajeesh A

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Dec 24, 2023

So detailed yet so simply explained!

By Li Y

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May 29, 2023

It is very interesting and amazing!

By amadou d

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Mar 10, 2021

Excellent and Fantastik. Thank You!

By Kenneth N

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Jun 28, 2022

exceptional and clear instructions

By Edgar A

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Jul 7, 2023

A really complete course

By Emmanuelle S

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Jun 29, 2023

Excellent 2nd course

By Gabriel O

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Nov 26, 2021

Very nice course!

By DO D T

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Jan 26, 2021

MANY THANKS TO YOU

By Ms. N A A

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Dec 15, 2020

Great clear course

By Parma R R

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Mar 28, 2023

Very good course!

By Vishnu N S

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Jul 9, 2021

Great Course !!!

By Tim C

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Dec 8, 2020

Great stuff ! :)

By Stefan O B

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Jan 28, 2021

great course!

By Mertcan 脰

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Aug 7, 2024

great course

By Jason C

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Jan 1, 2021

Great stuff!

By Vignesh M

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Nov 25, 2020

Wonderful!