## Implement Orthogonal Regularization in TensorFlow: A Step Guide – TensorFlow Tutorial

Orthogonal Regularization is a regularization technique used in deep learning model. In this tutorial, we will implement it using tensorflow.

## Understand Batch Normalization: A Beginner Explain – Machine Learning Tutorial

Batch normalization is proposed in paper Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. In this tutorial, we will explain it for machine learning beginners.

## Understand tf.cumsum(): Compute the Cumulative Sum of The Tensor – TensorFlow Tutorial

TensorFlow tf.cumsum() allows us to compute the cumulative sum of the tensor x along axis. In this tutorial, we will use some examples to show you how to use it.

## How to Update the Mean and Variance of Population and Test Sample in Batch Normalization – Machine Learning Tutorial

In this tutorial, we will intorduce you two questions: How to compute the mean and variance of population sample by training batch sample? How to normalize the test batch sample by the mean and variance of population sample?

## NLTK pos_tag(): Get the Part-of-Speech of Words in Sentence – NLTK Tutorial

In order to get the part-of-speech of a word in a sentence, we can use ntlk pos_tag() function. In this tutorial, we will introduce you how to use it.

## Tokenizing or Splitting Words and Sentences From String Using NLTK – NLTK Tutorial

When we are processing text, we often need to split text content to sentences, then split sentence to words. In this tutorial, we will tell you how to do using python nltk.

## What is “@example.com” – A Beginner Introduction

You may find some “@example.com” email addresses in some source codes or documents. What it is? In this tutorial, we will introduce it for programming beginners.