Earth Mover’s Distance

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学習するスキル

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

レビュー

4.7 (515 件の評価)
  • 5 stars
    78.05%
  • 4 stars
    17.28%
  • 3 stars
    2.33%
  • 2 stars
    1.16%
  • 1 star
    1.16%
BN
2020年10月20日

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.

AA
2020年11月1日

Good overall introduction to GANs. I really liked how well the sections on Wasserstein Loss and Conditional & Controllable GAN sections were covered in this course.

レッスンから
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.

講師

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    Sharon Zhou

    Instructor
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    Eda Zhou

    Curriculum Developer
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    Eric Zelikman

    Curriculum Engineer

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