Grokking Deep Learning by Andrew W Trask

Grokking Deep Learning by Andrew W Trask

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.

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.

SKU	Unavailable
ISBN 13	9781617293702
ISBN 10	1617293709
Title	Grokking Deep Learning
Author	Andrew W Trask
Condition	Unavailable
Binding Type	Paperback
Publisher	Manning Publications
Year published	2019-05-22
Number of pages	336
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.