What are GAN's actually- from underlying math to python code
Build Basic Generative Adversarial Networks (GANs)
4.31 (31 reviews)

5 846
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3.5 hours
content
Oct 2020
last update
$19.99
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What you will learn
GAN's Topic Overview and Prerequisites
Theoretical Concept behind GAN's
KL & JS Divergence
Underlying math behind GAN's : Min - Max Game
DCGAN & Hands on Python
Conditional GAN & Hands on Python
ACGAN & Hands on Python
Challenges in training the GAN's
Evaluation metrics & Tips for making GAN'S in real life
Practical Application - Synthetic class specific image generation using GANs
Some other cool applications of GAN's
Semi-supervised learning with Generative Adversarial Networks
Hands on Semi-supervised learning with Generative Adversarial Network
Summary & additional resources
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3513122
udemy ID
20/09/2020
course created date
01/11/2020
course indexed date
Lee Jia Cheng
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