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Deep Learning for AI
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DOI：10.1145/3448250.png)
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Abstract
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.
Keywords:
NEURAL-NETWORKS
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