**参考文献**:

- 全局参考
  - https://github.com/exacity/deeplearningbook-chinese/

- 线性代数
  - https://github.com/npetrakis/YearOfML

- 概率与信息论
  - https://github.com/akhilvasvani/Probability-and-Information-Theory
  - https://docs.scipy.org/doc/scipy/reference/stats.html
  - https://www.joinquant.com/view/community/detail/be3d8bc42275ea491897ac13fbf5838f
  - https://my.oschina.net/dillan/blog/134011
  
- 数值计算

- 机器学习基础
  - 《统计学习方法》
  - 《机器学习》
  - https://github.com/paruby/ml-basics
  - https://github.com/akhilvasvani/machine-learning-basics
  - https://blog.csdn.net/ajianyingxiaoqinghan/article/details/72897399

- 深度前馈网络
  - https://peterroelants.github.io/posts/cross-entropy-logistic/
  - https://blog.csdn.net/weixin_36586536/article/details/80468426
  - https://github.com/yg19930918/deep-learning-from-scratch-master
  - https://www.cnblogs.com/34fj/p/9036369.html
  - https://github.com/peterroelants/peterroelants.github.io

- 深度学习中的正则化
  - https://zhuanlan.zhihu.com/p/35893078
  - https://www.jiqizhixin.com/articles/2017-06-23-5
  - https://www.zybuluo.com/songying/note/1400484
  - https://zhuanlan.zhihu.com/p/37120298
  - https://kevinzakka.github.io/2016/09/14/batch_normalization/
  - http://gitlinux.net/2018-10-29-xgboost/
  - https://medium.com/swlh/boosting-and-bagging-explained-with-examples-5353a36eb78d
  - http://www.ccs.neu.edu/home/vip/teach/MLcourse/4_boosting/slides/gradient_boosting.pdf
  - https://blog.csdn.net/liangjun_feng/article/details/79603705
  - https://blog.csdn.net/sinat_22594309/article/details/60957594
  - https://www.zybuluo.com/yxd/note/611571
  - http://freemind.pluskid.org/machine-learning/sparsity-and-some-basics-of-l1-regularization/#ed61992b37932e208ae114be75e42a3e6dc34cb3

- 深度模型中的优化
  - https://zhuanlan.zhihu.com/p/32626442
  - https://github.com/exacity/deeplearningbook-chinese
  - http://cthorey.github.io./backpropagation/
  - http://www.ludoart.cn/2019/02/22/Optimization-Methods/
  - https://blog.csdn.net/itplus/article/details/21897715
  
- 卷积神经网络
  - https://www.slideshare.net/kuwajima/cnnbp
  - https://github.com/exacity/simplified-deeplearning
  - https://github.com/yg19930918/deep-learning-from-scratch-master
  - https://adventuresinmachinelearning.com/keras-tutorial-cnn-11-lines/
  - https://zhangting2020.github.io/2018/05/30/Transform-Invariance/
  - https://zh.gluon.ai/chapter_convolutional-neural-networks/lenet.html
  - https://zhuanlan.zhihu.com/p/32702031
  - https://blog.csdn.net/marsjhao/article/details/73088850

- 实践方法论
  - https://github.com/masakazu-ishihata/BayesianOptimization
  - https://github.com/bjzhao143/MLwithPython
  - https://medium.com/inveterate-learner/deep-learning-book-chapter-11-c6ad1d3c3c08
  - https://www.alexejgossmann.com/auc/
  - https://machinelearningmastery.com/roc-curves-and-precision-recall-curves-for-imbalanced-classification/
  - https://www.yuque.com/books/share/f4031f65-70c1-4909-ba01-c47c31398466/kqbfug
  - http://bridg.land/posts/gaussian-processes-1
  - https://zhuanlan.zhihu.com/p/76269142