Pooling and Upsampling

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Skills You'll Learn

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

Reviews

4.7 (515 ratings)
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  • 4 stars
    17.28%
  • 3 stars
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  • 2 stars
    1.16%
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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.

AA
Nov 1, 2020

Good overall introduction to GANs. I really liked how well the sections on Wasserstein Loss and Conditional & Controllable GAN sections were covered in this course.

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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