Your first deep learning web application with TF.js

In this section, we are going to develop a web application with the help of TF.js. This application will include the steps for a standard, full stack, deep learning-enabled web project. We will begin by preparing the data, we will then study the project architecture briefly, and then, we will proceed toward building the required components as we go.

Preparing the dataset

The Iris flower dataset, in its original form, is a CSV file containing the data of 150 rows split into 5 columns in a comma-separated format, with each entry separated by a new line.

However, we will be using a JSON format of the data for easier operability with JavaScript. The dataset in JSON format can...