Earth Mover’s Distance

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Получаемые навыки

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

Рецензии

4.7 (оценок: 264)
  • 5 stars
    78.03%
  • 4 stars
    18.18%
  • 3 stars
    1.89%
  • 2 stars
    0.75%
  • 1 star
    1.13%
BN
20 окт. 2020 г.

The course is amazing with an amazing instructor. I really enjoyed the course and thank you so much for making this specialization. A big thanks to deeplearningai team.

OH
1 окт. 2020 г.

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.

Из урока
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.

Преподаватели

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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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