We believe that the best way to learn deep learning is by coding. For this reason, this book is organized around self-contained examples and projects that progress from simple to complex. As a result, you’ll receive all the benefits of sequential learning while also having the freedom to explore each topic independently.
As you embark on this journey, it’s important to recognize that deep learning frameworks continuously evolve, but their core principles remain consistent. This book primarily uses PyTorch, currently the most popular deep learning framework, along with Lightning and Deeplay for added convenience. However, the fundamental concepts, techniques, and insights you will gain are transferable across various frameworks. In an ever-evolving landscape, they will empower you to choose the best tools for your projects as well as transition between them, easing your learning curve when the next deep learning framework emerges.
