This book is intended as a starting point for software engineers, data scientists, and motivated students fluent in Python to become comfortable using PyTorch to build deep learning projects. We want this book to be as accessible and useful as possible, and we expect that readers will be able to take the concepts in this book and apply them to other domains. To that end, we use a hands-on approach and encourage readers to keep their computers at the ready, so they can play with the examples and take them a step further. By the time they are through with the book, readers should be able to take a data source and build out a deep learning project that consumes it.
By Eli Stevens, Luca Antiga, and Thomas ViehmannRead more.
The techniques and tools covered in Deep Learning with PyTorch are most similar to the requirements found in Data Scientist job advertisements.
