Welcome to Week 2

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강의 계획표 보기

배우게 될 기술

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

검토

4.7개(1,563개 평가)

  • 5 stars
    80.10%
  • 4 stars
    14.65%
  • 3 stars
    3.45%
  • 2 stars
    1.02%
  • 1 star
    0.76%

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 2: Deep Convolutional GANs

Learn about different activation functions, batch normalization, and transposed convolutions to tune your GAN architecture and apply them to build an advanced DCGAN specifically for processing images!

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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