jealousy 发表于 2025-3-26 23:50:56

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和音 发表于 2025-3-27 02:41:27

Wil M. P. van der Aalst,Vladimir Batagelj,Elena Tu

Peculate 发表于 2025-3-27 05:22:27

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lobster 发表于 2025-3-27 11:01:16

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ONYM 发表于 2025-3-27 14:08:42

,Digitale Produktion: Bottom-up-Ökonomie, Adam on simple reinforcement learning tasks and tend to be more stable and less strict to hyperparameters selection. Considering the latest results we show that DDQN with K-FAC learns more quickly than with other optimizers and improves constantly in contradiction to similar with Adam or RMSProp.

Fillet,Filet 发表于 2025-3-27 17:57:45

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奴才 发表于 2025-3-28 01:11:07

https://doi.org/10.1007/978-981-10-7697-8 network architectures: recurrent and convolutional, as well as simpler feedforward networks. Classification accuracy was evaluated for different architectures, text representations and sets of miscellaneous parameters.

记忆 发表于 2025-3-28 03:40:47

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glacial 发表于 2025-3-28 08:33:45

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不开心 发表于 2025-3-28 13:24:05

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查看完整版本: Titlebook: Analysis of Images, Social Networks and Texts; 8th International Co Wil M. P. van der Aalst,Vladimir Batagelj,Elena Tu Conference proceedin