Deep Generative Models

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  • Learn how Generative Adversarial Networks and Variational Autoencoders can produce realistic, never-before-seen data

Videos + Readings
  1. 2019-Jan Alexander Amini: Generative Models Slides
VARIATIONAL AUTOENCODERS
  1. 2018-Feb Irhum Shafkat: Intuitively Understanding Variational Autoencoders
  2. 2018-Mar Jeremy Jordan: Variational Autoencoders
  3. 2017-Dec Keita Kurita: An Intuitive Explanation of Variational Autoencoders
  4. 2017-May Will Kurt: Kullback-Leibler Divergence Explained
GENERATIVE ADVERSARIAL NETWORKS
  1. 2016-Jun Kevin Frans: Generative Adversarial Networks Explained
  2. 22 min 2017-Oct Rob Miles: Generative Adversarial Networks (GANs)
  3. 2019-Jan Minsuk Kahng et al: Play with Generative Adversarial Network in Your Browser
  4. 2019-Jan Madhu Sanjeevi: Generative Adversarial Networks with Math

Coding Exercises
  1. 21 min 2018-Jul John Fisher: Autoencoder Tutorial in Keras
  2. MIT Bootcamp: Intro to Deep Learning Debiasing Faces
  3. 17 min 2018-Jan Dominic Mon: Make a Face Adversarial Network in 15 minutes
  4. Erik Linder-noren: PyTorch-GAN

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