Inside Deep Learning: Math, Algorithms, Models

Written for everyday developers, there are no complex mathematical proofs or unnecessary academic theory in Inside Deep Learning.

Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. Inside Deep Learning is a fast-paced beginner’s guide to solving common technical problems with deep learning.

Written for everyday developers, there are no complex mathematical proofs or unnecessary academic theory in Inside Deep Learning. You’ll learn how deep learning works through plain language, annotated code, and equations as you work through dozens of instantly useful PyTorch examples. As you go, you’ll build a French-English translator that works on the same principles as professional machine translation, and discover cutting-edge techniques just emerging from the latest research. Best of all, every deep learning solution in this book can run in less than fifteen minutes using free GPU hardware!