
This post talks about some basics about CNN, such as what is weight sharing and pooling.

This post briefly talks about some basics about CNN, such as how to use relus, save and restore trained models, and regularization in TensorFlow.

A brife introduction to TensorFlow.

A simple explanation on KMeans and KMeans Neural Network. Python implementations on them are also provided.

A theoretical explanation on AdaBoost, Boostrap, and Random Forest. Python implementations on thoes three topics are also provided.

A theoretical intro to decision tree and an implementation on ID3 using Python