Month: December 2018

  • Materials for Neural Network

    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.html2. 一文看懂常用的梯度下降算法 URL: https://blog.csdn.net/u013709270/article/details/786675313. 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/789347934. The Back Propagation Algorithm. URL: https://page.mi.fu-berlin.de/rojas/neural/chapter/K7.pdf5. Derivation of Back Propagation Algorithm for Forward Neural Networks. URL:  http://www.cs.put.poznan.pl/pliskowski/pub/teaching/eio/lab1/eio-supplementary.pdf6. 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-bc30b26e432a8. An introduction to gradient descent and linear regression. URL: https://spin.atomicobject.com/2014/06/24/gradient-descent-linear-regression/