Engaged
发表于 2025-3-28 16:50:38
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muffler
发表于 2025-3-28 21:42:23
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东西
发表于 2025-3-29 01:58:50
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective FunctionWe consider the problem of finding local minimizers in non-convex and non-smooth optimization. Under the assumption of strict saddle points, positive results have been derived for first-order methods. We present the first known results for the non-smooth case, which requires different analysis and a different algorithm.
nocturia
发表于 2025-3-29 06:09:45
Luca Oneto,Nicolò Navarin,Davide AnguitaOffers recent research in Big Data and Deep Learning.Presents contributions from researchers and professionals in Big Data, Deep Learning and related areas.Includes Proceedings of the INNS Big Data an
mosque
发表于 2025-3-29 08:04:27
Proceedings of the International Neural Networks Societyhttp://image.papertrans.cn/r/image/822617.jpg
BROW
发表于 2025-3-29 11:31:48
https://doi.org/10.1007/978-3-030-16841-4Big Data; Deep Learning; Neural Networks; INNS Big Data and Deep Learning 2019; INNSBDDL2019
后退
发表于 2025-3-29 16:51:09
978-3-030-16840-7Springer Nature Switzerland AG 2020
渐强
发表于 2025-3-29 22:43:59
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anachronistic
发表于 2025-3-30 03:50:42
Dropout for Recurrent Neural Networks,opout algorithms have not been tested against one another and the naive algorithm under identical experimental conditions. This paper compares all of these algorithms and finds that the naive approach performed as well as or better than the specialised Dropout algorithms.
STALL
发表于 2025-3-30 04:49:37
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