Learning Deep Architectures for AI 豆 8.7分

资源最后更新于 2020-07-28 14:42:41

作者：Yoshua Bengio

出版社：

出版日期：0000-01

ISBN：9781601982940

文件格式： pdf

标签： 深度学习 机器学习 人工智能 神经网络 AI 计算机 计算机科学 programming

简介· · · · · ·

Theoretical results suggest that in order to learn the kind of complicated

functions that can represent high-level abstractions (e.g., in

vision, language, and other AI-level tasks), one may need deep architectures.

Deep architectures are composed of multiple levels of non-linear

operations, such as in neural nets with many hidden layers or in complicated

propositional formulae...