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

4.7
stars
1,972 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 g...
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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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451 - 454 of 454 Reviews for Build Basic Generative Adversarial Networks (GANs)

By Michael S

•

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

•

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