1-Lipschitz Continuity Enforcement

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배우게 될 기술

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

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4.7개(1,590개 평가)

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MS

2020년 10월 10일

great course, only teaching what's needed, doesn't push you a lot in the coding assignments, as much as it requires you much more work to understand the codes and the science behind it.

DP

2020년 10월 6일

Excellent course. The videos were a pleasure to watch, the assignments were clear and allowed you to go as shallow or as in depth as you desired, and the mentors were very helpful.

수업에서

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.

강사:

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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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