This folder will contain the basics of Artificial Neural Network that I will teach at Berkeley D-Lab on Dec 2nd 2016. You can find the info here.

The materials here are mostly converted from my blog posts:
Machine Learning 1 - What is machine learning and real world example
Machine Learning 2 - Types of Machine Learning
Machine learning 3 - Artificial Neural Networks - part 1- Basics
Machine learning 4 - Artificial Neural Networks - part 2- Step by step implement Perceptron
Machine learning 5 - Artificial Neural Networks - part 3- Step by step implement Muti-Layer Perceptron
Machine learning 6 - Artificial Neural Networks - part 4- sklearn MLP classification example

For more information about me, please find info at Qingkai's website.