深度学习
Deep Learning
Ian Goodfellow、Yoshua Bengio、Aaron Courville · 初版 2016 年
44人推荐
82位读者提及
86次提及
为什么值得读
- 入门易读且内容紧跟前沿学术进展
- 涵盖广泛课题并附带实战应用技巧
- 技术可直接启发金融市场分析应用
“深度学习是机器学习的一种形式，它使计算机能够从经验中学习，并根据概念的层级结构来理解世界。由于计算机通过经验积累知识，因此无需由人类操作员正式指定计算机所需的所有知识。概念的层级结构允许计算机通过将较简单的概念组合来学习复杂的概念；这些层级结构的图谱会有很多层深。本书介绍了深度学习领域的广泛主题。正文提供了数学与概念层面的基础
Hacker News 上怎么说
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……写得不错的有 E. T. Jaynes 的《Probability Theory: the Logic of Science》。Tibshirani 等人的《Elements of Statistical Learning》也很好。Andrew Gelman 的《Bayesian Data Analysis》同样值得一读。Ian Goodfellow 和 Yoshua Bengio 写的《Deep Learning》则很适合用来跟进该领域的最新进展。
…well is "Probability Theory: the Logic of Science" by E. T. Jaynes. "Elements of Statistical Learning" by Tibshirani is also good. "Bayesian Data Analysis" by Andrew Gelman is another great read. "Deep Learning" by Ian Goodfellow and Yoshua Bengio is useful for getting caught up with recent advances in that field.
《Deep Learning》（Aaron Courville、Ian Goodfellow 和 Yoshua Bengio 著），我从头到尾读了一遍，然后把这些技术用在了加密货币市场（事实证明，crypto markets 效率相当低下）
Deep Learning (by Aaron Courville, Ian Goodfellow, and Yoshua Bengio) Read cover to cover, then applied these techniques to Crypto Markets (turns out, crypto markets are pretty inneficient)
……书，但也就仅此而已了。如果你现在真想深入搞 AI，一个极好的路径就是按顺序读下面这几本书：1. Stuart Russell 和 Peter Norvig 写的《AI: A Modern Approach》。2. Ian Goodfellow 和 Yoshua Bengio 写的《Deep Learning》。这两本书对新手来说门槛出奇地平易近人，不过随着阅读深入，你会接触到大量的学术内容。
…book, but that's how far one can go. If one is serious in getting in AI today, a great way to do is read the following books, in order: 1. AI: A Modern Approach by Stuart Russell and Peter Norvig. 2. Deep Learning by Ian Goodfellow and Yoshua Bengio. It is amazing how approachable both books are for beginners, but you will be diving a lot into academic stuff as you go along.
……Recognition and Machine Learning (Information Science and Statistics)，另外还有：- [1] The Elements of Statistical Learning - [2] Barto 和 Sutton 的《Reinforcement Learning: An Introduction》 - [3] Aaron Courville、Ian Goodfellow 和 Yoshua Bengio 的《Deep Learning》 - [4] Yoav Goldberg 的《Neural Network Methods for Natural Language Processing (Synthesis Lectures on Human Language Technologies)》，然后再补点数学……
…Recognition and Machine Learning (Information Science and Statistics) and also: - [1] The Elements of Statistical Learning - [2] Reinforcement Learning: An Introduction by Barto and Sutton - [3] The Deep Learning by Aaron Courville, Ian Goodfellow, and Yoshua Bengio - [4] Neural Network Methods for Natural Language Processing (Synthesis Lectures on Human Language Technologies) by Yoav Goldberg Then some math…
我早年职业生涯也经历过同样的转型。有一本符合你要求的 deep learning 书是 [0]。可读性很好，涵盖了广泛的前沿话题，并且提供了针对实际落地场景的实用技巧。至于通用的 machine learning，书就太多太多了。一本不错的入门书……
I made the same transition earlier in my career. One book on deep learning that meets your requirements is [0]. It’s readable, covers a broad set of modern topics, and has pragmatic tips for real use cases. For general machine learning, there are many, many books. A good intro…
……Financial Engineering (Ruppert & Matteson): https://www.amazon.ca/gp/product/1493926136/ - Reinforcement Learning (Sutton & Barto): https://www.amazon.ca/Reinforcement-Learning-Introduction-Ri... - Deep Learning (Goodfellow, Bengio & Courville): https://www.amazon.ca/Deep-Learning-Ian-Goodfellow/dp/026203... - Networks (Mark Newman): https://www.amazon.ca/Networks-Mark-Newman/dp/0198805098/ 我手头有大把教材……
…Financial Engineering (Ruppert & Matteson): https://www.amazon.ca/gp/product/1493926136/ - Reinforcement Learning (Sutton & Barto): https://www.amazon.ca/Reinforcement-Learning-Introduction-Ri... - Deep Learning (Godfellow, Bengio & Courville): https://www.amazon.ca/Deep-Learning-Ian-Goodfellow/dp/026203... - Networks (Mark Newman): https://www.amazon.ca/Networks-Mark-Newman/dp/0198805098/ I have a ton of textbooks…