Deep Learning：Adaptive Computation and Machine Learning series

深度学习计算机科学与人工智能英文原版精装

300 九品

仅1件

江苏苏州

认证卖家担保交易快速发货售后保障

作者Ian Goodfellow；Yoshua Bengio；Aaron Courville

出版社The MIT Press

ISBN9780262035613

出版时间1979-11

装帧精装

纸张其他

货号9780262035613

上书时间2024-04-19

已实名进店收藏店铺

商品描述: Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as

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