Review of Convolutions

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Получаемые навыки

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

Рецензии

4.7 (1,204 ratings)

  • 5 stars
    79,90 %
  • 4 stars
    14,61 %
  • 3 stars
    3,48 %
  • 2 stars
    0,99 %
  • 1 star
    0,99 %

SC

19 окт. 2020 г.

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Excellent introduction to Generative Adversarial Networks (GANs). The course is easy to follow, and the assignments are challenging. Thanks for the great learning opportunity.

BN

20 окт. 2020 г.

Filled StarFilled StarFilled StarFilled StarFilled Star

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.

Из урока

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!

Преподаватели

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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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