1-Lipschitz Continuity Enforcement

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Compétences que vous apprendrez

Controllable Generation, WGANs, Conditional Generation, Components of GANs, DCGANs


4.7 (229 évaluations)
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Oct 02, 2020

This course has been long waited for! It is great addition to the AI community and it presented very clearly. A bit of more theoretical background could be helpful.


Oct 16, 2020

I really like the way he teaches all the concept from scratch. i learn a lot\n\nany one want to learn foundation for GAN i really recommend them this course

À partir de la leçon
Week 3: Wasserstein GANs with Gradient Penalty
Learn advanced techniques to reduce instances of GAN failure due to imbalances between the generator and discriminator! Implement a WGAN to mitigate unstable training and mode collapse using W-Loss and Lipschitz Continuity enforcement.

Enseigné par

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    Sharon Zhou

    Course Instructor
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    Eda Zhou

    Curriculum Developer
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    Eric Zelikman

    Curriculum Developer

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