Deep Learning for AI

doi:10.1145/3448250

2021-06-21

312

DOI：10.1145/3448250

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摘要

En 中文

RESEARCH ON ARTIFICIAL neural networks was motivated by the observation that human intelligence emerges from highly parallel networks of relatively simple, non-linear neurons that learn by adjusting the strengths of their connections. This observation leads to a central computational question: How is it possible for networks of this general kind to learn the complicated internal representations that are required for difficult tasks such as recognizing.

Keyword:

NEURAL-NETWORKS

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期刊

Communications of the ACM

IF:

12.2

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1.2W

被引数:

3.7W

机构

facebook inc

学者数:

588

论文数: 381

被引数: 0

universite de montreal

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4.6W

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被引数: 46

Vector Institute for Artificial Intelligence

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217

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被引数: 4

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