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Learning Deep Architectures For AI - Yoshua Bengio PDF

130 Pages·2014·English
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by ['John Jairo Silva']| 2014| 130 pages| English

About Learning Deep Architectures For AI - Yoshua Bengio

The document discusses learning deep architectures for artificial intelligence. It argues that deep architectures, composed of multiple levels of non-linear operations like those in neural networks with many hidden layers, may be needed to represent the complex functions required for high-level abstractions in tasks like vision, language, and other AI problems. The document outlines challenges in training deep models and reviews approaches such as unsupervised learning of single layers that can then be combined to form deeper models like Deep Belief Networks.

Detailed Information

Author:['John Jairo Silva']
Publication Year:2014
Pages:130
Language:English
Format:PDF
Price:FREE
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