Inside Deep Learning: Math, Algorithms, Models

“Afantastic book with a colourful and intuitive way of describing how deep learning works.” Richard Vaughan

“Amazing at what it does. It’s a book for people who not only want to use deep learning, but also understand it!” Adam Slysz

“A remarkably clear explanation of practical deep learning showing readers how to quickly and systematically apply deep learning techniques tosolve their everyday data problems.” Jeff Neumann

“If you want to learn some of the deeper explanations of deep learning and PyTorch then read this book!” Tiklu Ganguly

“A must read if you don’t understand how Deep Learning works under the hood.” Abdul Basit Hafeez

Edward Raff is a Chief Scientist at Booz Allen Hamilton, and the author of the JSAT machine learning library. His research includes deep learning, malware detection, reproducibility in ML, fairness/bias, and high performance computing. He is also a visiting professor at the University of Maryland, Baltimore County and teaches deep learning in the Data Science department. Dr Raff has over 40 peer reviewed publications, three best paper awards, and has presented at numerous major conferences.