Batch Normalization (Procedure)

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Compétences que vous apprendrez

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

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4.7 (258 évaluations)
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20 oct. 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.

OH
1 oct. 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.

À partir de la leçon
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!

Enseigné par

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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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