Wasserstein Loss

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Habilidades que você aprenderá

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

Avaliações

4.7 (220 classificações)
  • 5 stars
    77.72%
  • 4 stars
    18.18%
  • 3 stars
    1.81%
  • 2 stars
    0.90%
  • 1 star
    1.36%
OH

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.

AV

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

Na lição
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.

Ministrado por

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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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