Start leveraging
the power of DL
with Inside Deep Learning.
Take 40% off by entering slraff into the
discount code box at checkout at
manning.com.

Deep learning isn’t just for big tech companies and academics. Anyone
who needs to find meaningful insights and patterns in their data can
benefit from these practical techniques! The unique ability for your
systems to learn by example makes deep learning widely applicable across
industries and use-cases, from filtering out spam to driving cars.

Inside Deep Learning is an accessible
guide to implementing deep
learning with the PyTorch
framework. It demystifies complex
deep learning concepts and teaches
you to understand the vocabulary
of deep learning so you can keep
pace in a rapidly evolving field. No
detail is skipped—you’ll dive into
math, theory, and practical
applications. Everything is clearly
explained in plain language.

Inside Deep Learning is a fast-paced
beginners guide to solving common
technical problems with deep
learning. Written for everyday
developers, without complex
mathematical proofs or dense
academic theory. You’ll learn how
deep learning works through clear
explanations, annotated code and
equations as you work through
dozens of instantly useful PyTorch
examples. Best of all, every deep
learning solution in this book can
run in less than fifteen minutes using
free GPU hardware!

What people are saying
about the book:
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 refreshing, clear description of
deep learning; the author seamlessly
joins theory and practice to show you
how to quickly and systematically
apply innovative deep learning
techniques to solve everyday data
problems.
-Jeff Neumann

About the author:
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.

Take 40% off Inside Deep Learning by
entering slraff into the discount code
box at checkout at manning.com.
If you want to learn more about the
book, you can check it out on our
browser-based liveBook platform here.