# Overview

On this article, I’ll show simple deep neural network(DNN) model for regression by TensorFlow.

TensorFlow is open source library from Google. From the official web site,

TensorFlow™ is an open source software library for numerical computation using data flow graphs.

From wikipedia,

TensorFlow is an open-source software library for machine learning across a range of tasks. It is a system for building and training neural networks to detect and decipher patterns and correlations, analogous to (but not the same as) human learning and reasoning.[3] It is used for both research and production at Google,[3]:min 0:15/2:17 [4]:p.2 [3]:0:26/2:17 often replacing its closed-source predecessor, DistBelief.

It lets us make neural network relatively easily. But different from keras, this needs proper knowledge of the things you want to make.

This article is almost simple tutorial to make deep neural network model for regression.

You can know the followings on this article.

- What is deep neural network?
- How do we write deep neural network model by TensorFlow