Machine Learning
Links
初学
论文
计划 1
语言：Python， 软件：weka，scikit-learn，tensorflow
网络资源： http:\/\/machinelearningmastery.com\/, 机器学习精简入门教程， 线性代数MIT公开课，微积分MIT公开课
学习书：机器学习实战，统计学习方法，概率论，机器学习（西瓜书），PRML，
学习公开课：UFLDL Tutorial 和 http:\/\/cs109.github.io\/2015\/
计划 2
书：
http:\/\/www.deeplearningbook.org\/ (难。)
https://github.com/exacity/deeplearningbook-chinese
Coursera 机器学习课程 https:\/\/www.coursera.org\/learn\/machine-learning
Neural Networks and Deep Learning
公开课：
https:\/\/github.com\/ahangchen\/GDLnotes
kadenze creative-applications-of-deep-learning-with-tensorflow
https:\/\/github.com\/pkmital\/tensorflow_tutorials
CMU 机器学习 http:\/\/www.cs.cmu.edu\/~mgormley\/courses\/10701-f16\/index.html
CMU 统计机器学习 http:\/\/www.stat.cmu.edu\/~larry\/=sml\/
计划 3
http:\/\/cs229.stanford.edu\/ （ing）
CS231n: Convolutional Neural Networks for Visual Recognition
Deep Learning
- Google DL 课程
- CS231n: Convolutional Neural Networks for Visual Recognition
- CS224d: Deep Learning for Natural Language Processing
- https:\/\/www.coursera.org\/learn\/neural-networks
- Neural networks class - Université de Sherbrooke
- https:\/\/www.cs.ox.ac.uk\/people\/nando.defreitas\/machinelearning\/
- http:\/\/www.deeplearningbook.org\/
- DeepLearningBook 及 Papers
- http:\/\/karpathy.github.io\/neuralnets\/
- 神经网络博客 colah.github.io
- 神经网络博客 http:\/\/www.wildml.com\/
- 北大 李戈 深度学习课件
http:\/\/suanfazu.com\/t\/lecun-bengio-hinton\/9478
http:\/\/suanfazu.com\/t\/deep-learning\/9401
http:\/\/videolectures.net\/deeplearning2015_montreal\/
Papers
Netzer, Y., et al. Reading Digits in Natural Images with Unsupervised Feature Learning.NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2011.
Goodfellow, I., et al. Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks. ICLR, 2014. [video]
统计学习
强化学习
Q-learning
