308 pages; Graphs. B&W illustrations. Very slightly cocked spine. Very Good condition otherwise. No other noteworthy defects. No markings. ; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.

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Bibliographic Details

Title

Grokking Deep Learning

Publisher

Manning, Shelter Island, NY

Publication Date

2019

Language

English

ISBN 10

1617293709

ISBN 13

9781617293702

Binding

Paperback

Edition

First Edition; First Printing.

Condition

Very Good-

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About this title

Synopsis

Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the “brain” behind the world’s smartest Artificial Intelligence systems out there.

Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the “black box” API of some library or framework, readers will actually understand how to build these algorithms completely from scratch.

Key Features:
Build neural networks that can see and understand images
Build an A.I. that will learn to defeat you in a classic Atari game
Hands-on Learning

Written for readers with high school-level math and intermediate
programming skills. Experience with Calculus is helpful but not
required.

ABOUT THE TECHNOLOGY

Deep Learning is a subset of Machine Learning, which is a field dedicated to the study and development of machines that can learn, often with the goal of eventually attaining general artificial intelligence.

About the Author

Andrew Trask is a PhD student at Oxford University, funded by the Oxford-

DeepMind Graduate Scholarship, where he researches Deep Learning

approaches with special emphasis on human language. Previously, Andrew was

a researcher and analytics product manager at Digital Reasoning where he

trained the world's largest artificial neural network with over 160 billion

parameters, and helped guide the analytics roadmap for the Synthesys

cognitive computing platform which tackles some of the most complex analysis

tasks across government intelligence, finance, and healthcare industries.

"About this title" may belong to another edition of this title.

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