Padding and Stride

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강의 계획서 보기

배우게 될 기술

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

검토

4.7(209개의 평가)
  • 5 stars
    78.46%
  • 4 stars
    17.70%
  • 3 stars
    1.43%
  • 2 stars
    0.95%
  • 1 star
    1.43%
OH

Oct 02, 2020

This course has been long waited for! It is great addition to the AI community and it presented very clearly. A bit of more theoretical background could be helpful.

AV

Oct 16, 2020

I really like the way he teaches all the concept from scratch. i learn a lot\n\nany one want to learn foundation for GAN i really recommend them this course

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

    Course Instructor
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    Eda Zhou

    Curriculum Developer
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    Eric Zelikman

    Curriculum Developer

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