Some materials are enclosed here.
1. 深度學習（二）： 反向傳播 URL:http://chansh518.github.io/deep%20learning/2016/08/08/Deep-Learning-Notes-Backpropagation.html
2. 一文看懂常用的梯度下降算法 URL: https://blog.csdn.net/u013709270/article/details/78667531
3. 邏輯回歸代價函數及其梯度下降公式 URL: https://blog.csdn.net/Mr_HHH/article/details/78934793
4. The Back Propagation Algorithm. URL: https://page.mi.fu-berlin.de/rojas/neural/chapter/K7.pdf
5. Derivation of Back Propagation Algorithm for Forward Neural Networks. URL: http://www.cs.put.poznan.pl/pliskowski/pub/teaching/eio/lab1/eio-supplementary.pdf
6. 凸優化 梯度下降。URL: http://www.hanlongfei.com/凸优化/2015/09/29/cmu-10725-gradient/
7. Geadient Descent demystified. URL: https://towardsdatascience.com/gradient-descent-demystified-bc30b26e432a
8. An introduction to gradient descent and linear regression. URL: https://spin.atomicobject.com/2014/06/24/gradient-descent-linear-regression/
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