View source for Snap inc. (20250086466). GENERATIVE NEURAL NETWORK DISTILLATION

=GENERATIVE NEURAL NETWORK DISTILLATION=


==Organization Name==

[[:Category:snap inc.|snap inc.]]


[[Category:snap inc.]]

==Inventor(s)==

[[:Category:Sergey Tulyakov of Santa Monica CA (US)|Sergey Tulyakov of Santa Monica CA (US)]][[Category:Sergey Tulyakov of Santa Monica CA (US)]]

[[:Category:Sergei Korolev of Playa Vista CA (US)|Sergei Korolev of Playa Vista CA (US)]][[Category:Sergei Korolev of Playa Vista CA (US)]]

[[:Category:Aleksei Stoliar of Los Angeles CA (US)|Aleksei Stoliar of Los Angeles CA (US)]][[Category:Aleksei Stoliar of Los Angeles CA (US)]]

[[:Category:Maksim Gusarov of Santa Monica CA (US)|Maksim Gusarov of Santa Monica CA (US)]][[Category:Maksim Gusarov of Santa Monica CA (US)]]

[[:Category:Sergei Kotcur of Los Angeles CA (US)|Sergei Kotcur of Los Angeles CA (US)]][[Category:Sergei Kotcur of Los Angeles CA (US)]]

[[:Category:Christopher Yale Crutchfield of San Diego CA (US)|Christopher Yale Crutchfield of San Diego CA (US)]][[Category:Christopher Yale Crutchfield of San Diego CA (US)]]

[[:Category:Andrew Wan of Marina del Rey CA (US)|Andrew Wan of Marina del Rey CA (US)]][[Category:Andrew Wan of Marina del Rey CA (US)]]

==GENERATIVE NEURAL NETWORK DISTILLATION==


This abstract first appeared for US patent application 20250086466 titled 'GENERATIVE NEURAL NETWORK DISTILLATION

==Original Abstract Submitted==

a compact generative neural network can be distilled from a teacher generative neural network using a training network. the compact network can be trained on the input data and output data of the teacher network. the training network train the student network using a discrimination layer and one or more types of losses, such as perception loss and adversarial loss.



[[Category:G06N3/088]]
[[Category:G06F18/21]]
[[Category:G06F18/214]]
[[Category:G06N3/045]]
[[Category:G06N3/08]]
[[Category:G06V10/764]]
[[Category:G06V10/774]]
[[Category:G06V10/778]]
[[Category:G06V10/82]]
[[Category:CPC_G06N3/088]]