Building an Artificial Neural Network Model using Python

In this article, we are going to build an artificial neural network using Tensor flow. We are going to build a deep neural network with multiple neurons and fully connected layers. The dataset we are going to work on belongs to a bank studying its customer to see if they will leave or stay and it contains around 10,000 observations. You will see that we will have to use the data preprocessing template we created in a previous article, and we will use a different set of tools as well. Here we will have an input vector containing a set of features and we will predict the outcome which will be a binary variable. As you know that ANN can be used for regression or classification and here we are going to do it for classification in this tutorial.