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Ian Goodfellow, Yoshua Bengio, "Deep Learning (draft)" 2016 | ISBN-10: 0262035618 | 800 pages | PDF | 23 MB http://www.deeplearningbook.org/ "Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." – Elon Musk, co-chair of OpenAI; co-founder and CEO of Tesla and Spa ceX 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 natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
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2016-11-13 上传大小:22.58MB
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评论 共5条

jumping12 非常不错的资源,谢谢!
2018-11-13
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kobe24vs08 good thanks
2018-01-04
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neutrino23 thanks! very good!
2017-12-31
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tuzki_zxy 还行,不错呢
2017-09-28
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wangwolaodong 非常好的版本,清晰,完整!
2017-06-07
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[en]深度学习[Deep Learning: Adaptive Computation and Machine Learning series]

内容简介 · · · · · · 《深度学习》由全球知名的三位专家Ian Goodfellow、Yoshua Bengio 和Aaron Courville撰写,是深度学习领域奠基性的经典教材。全书的内容包括3个部分:第1部分介绍基本的数学工具和机器学习的概念,它们是深度学习的预备知识;第2部分系统深入地讲解现今已成熟的深度学习方法和技术;第3部分讨论某些具有前瞻性的方向和想法,它们被公认为是深度学习未来的研究重点。 《深度学习》适合各类读者阅读,包括相关专业的大学生或研究生,以及不具有机器学习或统计背景、但是想要快速补充深度学习知识,以便在实际产品或平台中应用的软件工程师。 作者简介 ·

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deep learning(Adaptive Computation and Machine Learning series)

This book is about a solution to these more intuitive problems. This solution is to allow computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined in terms of its relation to simpler concepts. By gathering knowledge from experience, t

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Deep Learning: Adaptive Computation and Machine Learning series

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Deep Learning (Adaptive Computation and Machine Learning series) 最新中文版

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hands-on-machine-learning

mhtml文件,请在chrome下观看,效果很好; 1分,诸位评论下就回来了

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