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Skills You'll Learn

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

Reviews

4.7 (1,125 ratings)
  • 5 stars
    80.08%
  • 4 stars
    14.75%
  • 3 stars
    3.11%
  • 2 stars
    1.06%
  • 1 star
    0.97%
AS
Mar 3, 2021

Great introduction of GANs. I particularly liked the programming assignments' difficulty (not too easy and not too hard). Also, the instructor is usually very clear and didactic.

BN
Oct 20, 2020

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.

From the lesson
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.

Taught By

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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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