Summary

You may be a beginner exploring the field of DL to see whether it's the right career for you. You may be a student of an advanced degree trying to do your research in ML to complete your thesis or get papers published. Or, you may be an expert data scientist with years of experience in training DL models and taking them to production. PyTorch Lightning has something for everyone to do almost anything in DL.

It combines the raw power of PyTorch, which offers efficiency and rigor, with the simplicity of Python, by providing a wrapper over complexity. You can always go as deep as you want in doing some innovative work (as you will see later in this book), while you can also get numerous out-of-the-box neural network architectures that save you from having to reinvent the wheel (which you will also learn about later). It is fully compatible with PyTorch, and code can easily be refactored. It is also perhaps the first framework that is designed for the persona of Data Scientist as opposed to other roles, such as ML researcher, ML-Ops engineer, or data engineer.

We will begin our journey with a simple DL model and will keep expanding our scope to more advanced and complex models with each chapter. You will find that it covers all the famous models, leaving you empowered with Deep Learning skills to make an impact in your organization. So, let's get things moving in our next chapter with your first DL model.