Modern deep learning design and application development /Andre Ye versatile tools to solve deep learning problems

By:

Ye, Andre

Language: English Publication details: Apress c2022 New York :Description: xix, 451 p.: ill. 25 cmISBN:

9781484284858

Subject(s):

Apprentissage profond; Deep learning (Machine learning)

DDC classification:

006.31 YEA

Summary: Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking.

Item type: English Books

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Current library	Call number	Copy number	Status	Date due	Barcode
Anna Centenary Library 3RD FLOOR, A WING	006.31 YEA (Browse shelf(Opens below))		Available		667808
Anna Centenary Library 3RD FLOOR, A WING	005.1 YE;1 (Browse shelf(Opens below))	1	Available		667809

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Previous	006.31 SUR Beginning Machine Learning in the Browser. Quick-start Guide to Gait Analysis With Javascript and Tensorflow.js	006.31 SUR Beginning Machine Learning in the Browser. Quick-start Guide to Gait Analysis With Javascript and Tensorflow.js	006.31 VIL Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis Machine Learning and Neural Networks	006.31 YEA Modern deep learning design and application development versatile tools to solve deep learning problems	006.3101515 JAY Hands-on mathematics for deep learning	006.312 ALV Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis Machine Learning and Neural Networks	006.312 DAS Data Science Using Oracle Data Miner and Oracle R Enterprise: Transform Your Business Systems Into an Analytical Powerhouse	Next

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Includes index

Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking.

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Modern deep learning design and application development /Andre Ye versatile tools to solve deep learning problems

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