Technical requirements

All of the code examples for this book can be found at the following GitHub URL: https://github.com/PacktPublishing/Practical-Deep-Learning-at-Scale-with-MLFlow.

You need to have Miniconda (https://docs.conda.io/en/latest/miniconda.html) installed on your development environment. In this chapter, we will walk through the process of installing the PyTorch lightning-flash library (https://github.com/PyTorchLightning/lightning-flash), which can be used to build our first DL model in the Implementing a basic DL sentiment classifier section. Alternatively, you can sign up for a free Databricks Community Edition account at https://community.cloud.databricks.com/login.html and use a GPU cluster and a notebook to carry out the model development described in this book.

In addition to this, if you are a Microsoft Windows user, we recommend that you install WSL2 (https://www.windowscentral.com/how-install-wsl2-windows-10) so that you have a Linux environment to run the command lines that are present in this book.