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Generative Adversarial Nets

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Ian Goodfellow: 4.5 years of GAN progress on face generation. https://arxiv.org/abs/1406.2661 https://arxiv.org/abs/1511.06434 https://arxiv.org/abs/1606.07536 https://arxiv.org/abs/1710.10196 https://arxiv.org/abs/1812.04948 https://t.co/F9Dkcfrq8l

42 replies, 3821 likes


Xander Steenbrugge: Emtremely excited to finally share a side-project I've been working on for the past few months: Neural Synesthesia, visualizing music with #GANs! So many ideas left to explore, this journey is just getting started.. More HD renders on my new YT channel: https://www.youtube.com/channel/UCu9a5weiXe1OU5oNyfHVQEQ https://t.co/jkRGflSfjg

70 replies, 3517 likes


Gene Kogan: 4.5 years of GAN progress, visualized to scale (modified from https://twitter.com/goodfellow_ian/status/1084973596236144640) https://t.co/wyZB0yLlrc

3 replies, 276 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: http://arxiv.org/pdf/1406.2661.pdf 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] https://t.co/PvH1x5ApFP

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: https://arxiv.org/pdf/1406.2661.pdf https://t.co/0aJ8SZwFKq

1 replies, 5 likes


Karen Alvares: PlayStation 1 - PlayStation 5

1 replies, 3 likes


Eric S: 4.5 years...

0 replies, 1 likes


Magrão: lol

0 replies, 1 likes


Tanmay Vakare: @udacity @facebook @100DaysOfMLCode #100DaysOfMLCode Day 4: #60daysofudacity Studied Generative Adversarial Networks https://arxiv.org/abs/1406.2661 Implemented simple GAN

0 replies, 1 likes


Alome: https://t.co/AAJ3VKtrcb

0 replies, 1 likes


Content

Found on Jan 15 2019 at https://arxiv.org/pdf/1406.2661.pdf

PDF content of a computer science paper: Generative Adversarial Nets