Chess AI Tutorial: TensorFlow & FastAPI Ep. 1

In this tutorial series, we will be building a Chess AI using TensorFlow and FastAPI.
Chess AI is a popular topic in the field of artificial intelligence, and by the end of this series,
you will have a basic understanding of how to build your own Chess AI.

Getting Started

Before we dive into the code, make sure you have Python installed on your computer.
We will be using TensorFlow for building the neural network model and FastAPI for creating the
REST API to interact with the AI.

Setting up TensorFlow

To install TensorFlow, run the following command:

$ pip install tensorflow

Setting up FastAPI

To install FastAPI, run the following command:

$ pip install fastapi

Building the Chess AI

Now that we have the necessary tools installed, let’s start building our Chess AI.
We will first create the neural network model using TensorFlow and then create the FastAPI
endpoints to interact with the AI.

Stay tuned for the next episode, where we will start building the neural network model for our Chess AI.

Happy coding!