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Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation ISBN: 9783030304867
ICANN (1)
ICANN (1)
Learning compositional dynamics with recurrent neural networks (RNNs) trained with back-propagation through time (BPTT) is usually a difficult task. Typically RNNs learn the consecutive shape along target sequences from time step to time step, focusi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a7c07466d45914b1e4bb18d0be2d537
https://doi.org/10.1007/978-3-030-30487-4_38
https://doi.org/10.1007/978-3-030-30487-4_38
Autor:
Wieland Brendel, Claudio Michaelis, Patricia Rubisch, Matthias Bethge, Jonas Rauber, Robert Geirhos, Carlos R. Medina Temme, Felix A. Wichmann
Publikováno v:
Journal of Vision. 19:209c