Deep Learning with PyTorch

1 Introducing deep learning and the PyTorch Library

This chapter covers

• How deep learning changes our approach to machine learning
• Understanding why PyTorch is a good fit for deep learning
• Examining a typical deep learning project
• The hardware you’ll need to follow along with the examples

The poorly defined term artificial intelligence covers a set of disciplines that have been subjected to a tremendous amount of research, scrutiny, confusion, fantastical hype, and sci-fi fearmongering. Reality is, of course, far more sanguine. It would be disingenuous to assert that today’s machines are learning to “think” in any human sense of the word. Rather, we’ve discovered a general class of algorithms that are able to approximate complicated, nonlinear ...