Deep Learning Reading List

最新推荐文章于 2020-08-02 16:49:18 发布

转载最新推荐文章于 2020-08-02 16:49:18 发布 · 1.2k 阅读

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本文提供了一份详尽的深度学习资源清单，包括书籍、教程、在线课程等，涵盖了从基础概念到高级主题的内容，如受限玻尔兹曼机的实用指南、深度架构综述等。

http://deeplearning.net/reading-list/

List of reading lists and survey papers:

The monograph or review paper Learning Deep Architectures for AI (Foundations & Trends in Machine Learning, 2009).
A practical guide to training Restricted Boltzmann Machines, by Geoffrey Hinton.
The ICML 2009 Workshop on Learning Feature Hierarchies webpage has a reading list.
The LISA public wiki has a reading list and a bibliography.
Geoff Hinton has readings from last year’s NIPS tutorial.
The LISA publications database contains a deep architectures category.
Scholarpedia page on Deep Belief Networks.
A very brief introduction to AI, Machine Learning, and Deep Learning in Yoshua Bengio‘sIFT6266 graduate class
Deep Machine Learning – A New Frontier in Artificial Intelligence Research – a survey paperby Itamar Arel, Derek C. Rose, and Thomas P. Karnowski.