Deep Learning

Deep Learning pdf epub mobi txt 電子書 下載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:
頁數:800
译者:
出版時間:2016-11-11
價格:USD 72.00
裝幀:Hardcover
isbn號碼:9780262035613
叢書系列:Adaptive Computation and Machine Learning
圖書標籤:
  • 深度學習 
  • 機器學習 
  • DeepLearning 
  • 人工智能 
  • AI 
  • MachineLearning 
  • 計算機 
  • 計算機科學 
  •  
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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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1、推薦瞭很多書籍,關乎如何提升學習力 2、其中重大的方法就是遠離社交網絡,對此方法如下:1.完全脫離網絡2.一周或一月設置幾天或幾周深度學習;不接觸網絡3.一天之中,設計可使用網絡的時間4.一天置之中規劃每一分鍾 3、深入學習可以提升生産力:在一段時間內全然投入到一件...  

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a great list of papers

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讀的中文版:https://github.com/exacity/deeplearningbook-chinese 第三部分還沒讀下去,深覺數學不夠 含金量颱高,7,8,11三章真是調參的人森經驗瞭

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讀完第一部分和最後部分無監督學習的章節。讀瞭一年終於讀完瞭????

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非常好的教材,可以結閤GitHub上的中文譯版看。

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讀的中文版:https://github.com/exacity/deeplearningbook-chinese 第三部分還沒讀下去,深覺數學不夠 含金量颱高,7,8,11三章真是調參的人森經驗瞭

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