Deep Learning

Deep Learning pdf epub mobi txt 电子书 下载 2025

Ian Goodfellow is Research Scientist at OpenAI. Yoshua Bengio is Professor of Computer Science at the Université de Montréal. Aaron Courville is Assistant Professor of Computer Science at the Université de Montréal.

出版者:The MIT Press
作者:Ian Goodfellow
出品人:
页数:800
译者:
出版时间:2016-11-11
价格:USD 72.00
装帧:Hardcover
isbn号码:9780262035613
丛书系列:Adaptive Computation and Machine Learning
图书标签:
  • 深度学习 
  • 机器学习 
  • DeepLearning 
  • 人工智能 
  • AI 
  • MachineLearning 
  • 计算机 
  • 计算机科学 
  •  
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"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 SpaceX

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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书很好,虽然价格感人,但是绝对是值得的。 唉,豆瓣必须140字。这本书亚马逊有卖,就不要去淘宝买了,说多了都是泪。 本书的文献比较多,如果有时间不妨去看看,大神使用的文献也是相当经典的。数了一下,页数也不少,如果没有耐心,直接看deep learningnet 的入门文献。 相当...  

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评分

书很好,虽然价格感人,但是绝对是值得的。 唉,豆瓣必须140字。这本书亚马逊有卖,就不要去淘宝买了,说多了都是泪。 本书的文献比较多,如果有时间不妨去看看,大神使用的文献也是相当经典的。数了一下,页数也不少,如果没有耐心,直接看deep learningnet 的入门文献。 相当...  

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用户评价

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三个星期读完了第一遍,有很多切入角度不错,有很多地方看不懂,需要读论文,抽空再刷一遍

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读完第一部分和最后部分无监督学习的章节。读了一年终于读完了????

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六星推荐。应该会二刷。期望有点大……读到后面感觉有点乱。四星吧……20170415

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读完第一部分和最后部分无监督学习的章节。读了一年终于读完了????

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读的中文版:https://github.com/exacity/deeplearningbook-chinese 第三部分还没读下去,深觉数学不够 含金量台高,7,8,11三章真是调参的人森经验了

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