Grokking Deep Learning

Trask, Andrew

ISBN 10: 1617293709 / ISBN 13: 9781617293702

Published by Manning, 2019

About this Item

Seller Inventory # ABE-1740138826030

Bibliographic Details

• Title: Grokking Deep Learning
• Publisher: Manning
• Publication Date: 2019
• Language: English
• ISBN 10: 1617293709
• ISBN 13: 9781617293702
• Binding: Couverture souple
• Edition: Edition originale
• Condition: Neuf

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.