So far, we have become familiar with the basic pipeline that is followed in a deep learning project. We have completed two basic end-to-end projects in previous chapters using the Keras and TensorFlow.js libraries. We have become familiar with Python libraries such as NumPy, pandas, and Keras, and we have also seen how deep learning models can be developed using JavaScript. We have also used the Flask framework to create an API out of a deep learning model. In chapter 4, Getting Started with TensorFlow.js, we used third-party Application Programming Interfaces (APIs) to create a web application.
In this chapter, we are going to study the whole concept of APIs in detail. Starting with a more informal definition of APIs, we are going to take a look at all APIs that are relevant to deep learning. We will first look at some of the most widely known...
