Machine Learning on Commodity Tiny Devices : Theory and Practice
Book Details
Format
Hardback or Cased Book
ISBN-10
1032374233
ISBN-13
9781032374239
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 13th, 2022
Print length
250 Pages
Weight
632 grams
Dimensions
18.50 x 26.00 x 2.20 cms
Product Classification:
Automatic control engineeringPersonal computersAlgorithms & data structuresAlgorithms and data structuresGames development & programmingGames development and programmingArtificial intelligenceArtificial intelligence (AI)Machine learningNeural networks & fuzzy systemsNeural networks and fuzzy systems
Ksh 15,100.00
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This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization, and hardware-level instruction acceleration.
This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization, and hardware-level instruction acceleration.
Get Machine Learning on Commodity Tiny Devices by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages.
