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Generative Adversarial Nets


Gene Kogan: 4.5 years of GAN progress, visualized to scale (modified from

3 replies, 276 likes

hardmaru: Waiting for tattoo of

1 replies, 33 likes

Alex Zhavoronkov: We will soon show this in molecules :)

2 replies, 27 likes

Ben Bartlett: GANs were first proposed by @goodfellow_ian et al in this 2014 paper: A GAN is a system of two competing neural networks - a "generator" and "discriminator" - which are trained against each other (hence "adversarial" learning). [2/5]

1 replies, 10 likes

Amy: Day 8 of #100DaysOfCode Cold day, perfect for reading.🥶I finished ch 3 in #DeepLearningIllustrated about Machine Art (created by neural networks!). Then I challenged myself to review the seminal paper that introduced GANs to the #datascience community:

1 replies, 5 likes

Karen Alvares: PlayStation 1 - PlayStation 5

1 replies, 3 likes

Joanna Peña-Bickley: Generative Adversarial Networks: A new framework for estimating generative models via adversarial process, which simultaneously train two models: a generative model that captures data distribution & a discriminative model that estimates probability sample

1 replies, 3 likes


0 replies, 1 likes

Eric S: 4.5 years...

0 replies, 1 likes

Tanmay Vakare: @udacity @facebook @100DaysOfMLCode #100DaysOfMLCode Day 4: #60daysofudacity Studied Generative Adversarial Networks Implemented simple GAN

0 replies, 1 likes

Magrão: lol

0 replies, 1 likes


Found on Jun 17 2019 at

PDF content of a computer science paper: Generative Adversarial Nets