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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
676 ratings

About the Course

In this course, you will: - Assess the challenges of evaluating GANs and compare different generative models - Use the Fréchet 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 d...
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Top reviews

PK

Jan 25, 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 25, 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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