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

About the Course

In this course, you will: - Explore the applications of GANs and examine them wrt data augmentation, privacy, and anonymity - Leverage the image-to-image translation framework and identify applications to modalities beyond images - Implement Pix2Pix, a paired image-to-image translation GAN, to adapt satellite images into map routes (and vice versa) - Compare paired image-to-image translation to unpaired image-to-image translation and identify how their key difference necessitates different GAN architectures - Implement CycleGAN, an unpaired image-to-image translation model, to adapt horses to zebras (and vice versa) with two GANs in one 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....
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1 - 4 of 4 Reviews for Apply Generative Adversarial Networks (GANs)

By German E G J

Oct 29, 2020

Awesome course to learn a lot about very cool GAN applications! All the material is very well designed, and the assignments really let you get a good practical insight on the different topics covered during the lessons. Thank you so much to everyone

By Angelos K

Oct 31, 2020

Great course, it provides an excellent explanation on concepts and provides useful practical exercises on main applications of GANs.

By Moustafa A S

Oct 31, 2020

great course and great material really, keep the great work and hopefully seeing more of your courses again Zho <3

By Stefan S

Oct 30, 2020

Very good and interesting course where you learn how state of the art GAN's is constructed.