Grokking Deep Learning

Author:   Andrew W Trask
Publisher:   Manning Publications
ISBN:  

9781617293702


Pages:   336
Publication Date:   15 May 2019
Format:   Paperback
Availability:   In stock   Availability explained
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Grokking Deep Learning


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Overview

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.  

Full Product Details

Author:   Andrew W Trask
Publisher:   Manning Publications
Imprint:   Manning Publications
Dimensions:   Width: 18.50cm , Height: 2.00cm , Length: 22.80cm
Weight:   0.600kg
ISBN:  

9781617293702


ISBN 10:   1617293709
Pages:   336
Publication Date:   15 May 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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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.

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