Pooling and Upsampling

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Skills You'll Learn

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

Reviews

4.7 (1,593 ratings)

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    80.10%
  • 4 stars
    14.75%
  • 3 stars
    3.38%
  • 2 stars
    1%
  • 1 star
    0.75%

MS

Oct 10, 2020

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

Oct 6, 2020

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.

From the lesson

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!

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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