Earth Mover’s Distance

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Compétences que vous apprendrez

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


4.7 (258 évaluations)
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20 oct. 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.

1 oct. 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.

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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