Suppose you got a person’s regist time in one column and his birth date in another column, now you need to calculate his age when he did the registration. There are two ways to reach this result.

We need to rely on pyodbc, the sample code is as belows.

Why embedding

Natural language processing systems traditionally treat words as discrete atomic symbols, and this may lead to some obstacles in word preprocessing:

Tf.data is a high level API provided by tensorflow, it performs as a pipeline for complex input and output. The core data structure of tf.data is Dataset which represents a potentially large set of elements.

Missing data is a common problem in real data preprocessing, luckily pandas has done a lot to help us handle it. This article will show the codes on how to do it.

This article shows the most common methods regarding data selection

Introduction

Attention or Bahdanau Attention is getting more and more interest in Neural Machine Translation(NMT) and other sequence prediction research, in this article I will briefly introduce what is Attention mechanism, why important it is and how do we use it(in Tensorflow)