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Grokking Deep Learning
Taschenbuch von Andrew W Trask
Sprache: Englisch

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Beschreibung

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.

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.

Über den Autor
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.

Details
Erscheinungsjahr: 2019
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 336
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781617293702
ISBN-10: 1617293709
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Trask, Andrew W
Hersteller: Manning Publications
Maße: 233 x 184 x 25 mm
Von/Mit: Andrew W Trask
Erscheinungsdatum: 22.05.2019
Gewicht: 0,572 kg
preigu-id: 103443631
Über den Autor
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.

Details
Erscheinungsjahr: 2019
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 336
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781617293702
ISBN-10: 1617293709
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Trask, Andrew W
Hersteller: Manning Publications
Maße: 233 x 184 x 25 mm
Von/Mit: Andrew W Trask
Erscheinungsdatum: 22.05.2019
Gewicht: 0,572 kg
preigu-id: 103443631
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