This folder will contain the basics of Artificial Neural Network that I will teach at Berkeley D-Lab on April 30th 2018. You can find the information 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
Machine learning 9 - More on Artificial Neural Network

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