Recitation 12 | Generative Adversarial Networks

Carnegie Mellon University
Course: 11-785, Intro to Deep Learning
Offering: Fall 2019

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Contents:
• Basics of GAN (Generator, discriminator, Training)
• Types of GAN (WGAN, WGAN-GP, Cycle GAN, STAR GAN)
• Code Walk-through

Networks