Don’t let those PhDs have all the fun-you too can use deep learning to solve practical problems.” – Hal Varian, Emeritus Professor, UC Berkeley Chief Economist, Google

“If you are looking for a guide that starts at the ground floor and takes you to the cutting edge of research, this is the book for you.

Deep Learning for Coders provides a terrific way to initiate that, even for the uninitiated, achieving the feat of simplifying what most of us would consider highly complex” – Eric Topol, Author of Deep Medicine Professor: Scripps Research

“As artificial intelligence has moved into the era of deep learning, it behooves all of us to learn as much as possible about how it works.

Altogether, this is one of the best sources for a programmer to become proficient in deep learning.” – Peter Norvig, Director of Research, Google The book does an impressive job of covering the key applications of deep learning in computer vision, natural language processing, and tabular data processing, but also covers key topics like data ethics that some other books miss. For most people, this is the best way to learn. The book shows examples first, and only covers theory in the context of concrete examples. The authors have extensive knowledge of the field but are able to describe it in a way that is perfectly suited for a reader with experience in programming but not in machine learning.

“‘Deep Learning is for everyone’ we see in Chapter 1, Section 1 of this book, and while other books may make similar claims, this book delivers on the claim.

Practical deep learning for coders