Deep Convolutional Voight-Kampf Test

A quick introduction to Generative Adversarial Networks, using Blade Runner, the movie, as illustration.

Transcript

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   NF • Born in Torun, Poland
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   NF • Born in Torun, Poland • In ML since ~Y2K • 2011-2015 web dev. • 2016~ Cookpad
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   NF • Born in Torun, Poland • In ML since ~Y2K • 2011-2015 web dev. • 2016~ Cookpad • Sci-Fi nerd • github: @lunardog
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7. Blade Runner Directed by Ridley Scott Produced by Michael Deeley Screenplay by Hampton Fancher David Peoples Based on Do Androids Dream of Electric Sheep? by Philip K. Dick Starring Harrison Ford Rutger Hauer Sean Young Edward James Olmos Music by Vangelis Cinematography Jordan Cronenweth Distributed by Warner Bros. Release date June 25, 1982 Running time 117 minutes Country United States Budget $28 million Box office $33.8 million Rachel Deckard
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14. Was Deckard 
 a replicant?
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18. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford, Luke Metz, Soumith Chintala
19. Generator Discriminator Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford, Luke Metz, Soumith Chintala
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    &OIBODJOH Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
25. %ˠ% Learning a Probabilistic Latent Space of Object Shapes via 3D Generative- Adversarial Modeling Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum
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    *NBHF Generative Adversarial Text to Image Synthesis Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee
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