Zobrazeno 1 - 10
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pro vyhledávání: '"Gunn, Sean"'
Generative Adversarial Networks (GANs) have been shown to be powerful and flexible priors when solving inverse problems. One challenge of using them is overcoming representation error, the fundamental limitation of the network in representing any par
Externí odkaz:
http://arxiv.org/abs/2203.04382
Publikováno v:
Neural Computation, Volume 31, Issue 3, March 2019, p.538-554
This paper deals with neural networks as dynamical systems governed by differential or difference equations. It shows that the introduction of skip connections into network architectures, such as residual networks and dense networks, turns a system o
Externí odkaz:
http://arxiv.org/abs/1806.03751
Autor:
Collis, Clark (AUTHOR)
Publikováno v:
Entertainment Weekly. 3/16/2018, Issue 1506/1507, p77-77. 1p. 3 Color Photographs.
Autor:
Rodriguez, Briana
Publikováno v:
Back Stage (1946-5440). 4/27/2017, Vol. 58 Issue 17, p3-3. 1p. 1 Color Photograph.
Autor:
Hauser, Michael1 mikebenh@gmail.com, Gunn, Sean1 sug375@psu.edu, Saab Jr., Samer2 sys5880@psu.edu, Ray, Asok1 axr2@psu.edu
Publikováno v:
Neural Computation. Mar2019, Vol. 31 Issue 3, p538-554. 17p. 3 Diagrams, 1 Chart, 1 Graph.
Autor:
Eileen, Dayna
Publikováno v:
Comics & Gaming Magazine; 2023, Issue 51, p16-21, 6p, 4 Color Photographs
Autor:
Horowitz, Mark R.1 (AUTHOR)
Publikováno v:
Historical Research. Aug2006, Vol. 79 Issue 205, p325-366. 42p.
Autor:
Chao, Lien
Publikováno v:
Essays on Canadian Writing. Winter95, Issue 57, p145. 26p. 2 Black and White Photographs.