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"sci" Newsletter

by サルバ

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Deep Learning for Symbolic Mathematics
arXiv.org – Dec 2

Abstract: Neural networks have a reputation for being better at solving statistical or approximate problems than at performing calculations or working with symbolic data. In this paper, we show that they can be surprisingly good at more elaborated…

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仁科記念講演会 | 公益財団法人仁科記念財団
さくらのレンタルサーバ

開催年月日(定例) 講師(所属、受賞歴) 演題 会場 2018年11月11日(64)…

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Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
arXiv.org – Oct 28

Abstract: Wide neural networks with random weights and biases are Gaussian processes, as observed by Neal (1995) for shallow networks, and more recently by Lee et al. (2018) and Matthews et al. (2018) for deep fully-connected networks, as well as…

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Based on “MasashiSalvador/sci”.  (3 members)

Created By MasashiSalvador サルバ
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