TinyML : (Record no. 14965)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02165cam a22002777a 4500 |
| 001 - CONTROL NUMBER | |
| control field | TB12444 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BhIIT |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260310154943.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210714s2020 cc a 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789352139606 (PBK) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IN-BhIIT |
| 041 ## - LANGUAGE CODE | |
| Language code of text | eng |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Book number | WAR/T |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Warden, Pete |
| Relator term | Author |
| 245 10 - TITLE STATEMENT | |
| Title | TinyML : |
| Sub Title | machine learning with tensorflow lite on arduino and ultra-low-power microcontrollers / |
| Statement of responsibility, etc | Pete Warden and Daniel Situnayake. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Mumbai : |
| Name of publisher | O'Relly Media Inc., |
| Year of publication | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xvi, 484 pages : |
| Other physical details(ill.) | illustrations ; |
| Dimensions(size) | 24 cm |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction -- Getting started -- Getting up to speed on machine learning -- The "Hello world" of TinyML : building and training a model -- The "Hello world" of TinyML : building an application -- The "Hello world" of TinyML : deploying to microcontrollers -- Wake-word detection : building an application -- Wake-word detection : training a model -- Person detection : building an application -- Person detection : training a model -- Magic wand : building an application -- Magic wand : training a model -- TensorFlow lite for microcontrollers -- Designing your own TinyML applications -- Optimizing latency -- Optimizing energy usage -- Optimizing model and binary size -- Debugging -- Porting models from TensorFlow to TensorFlow Lite -- Privacy, security, and deployment -- Learning more. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Deep learning networks are becoming smaller, with models as small as 14 kilobytes. This practical book, TinyML, combines deep learning and embedded systems to create small, portable devices. It provides a step-by-step guide for developers to create TinyML projects, including speech recognition, camera detection, and gesture response. The book also covers learning ML basics, using TensorFlow Lite for microcontrollers, and optimizing latency and energy usage. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning. |
| Topical Term | Signal processing |
| General subdivision | Digital techniques. |
| Topical Term | Microcontrollers. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Situnayake, Daniel |
| Relator term | Joint author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Text Book |
| Koha issues (borrowed), all copies | 2 |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not withdrawn | Not Lost | not damaged | SMS | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 06/03/2025 | 22 | 1425.00 | 006.31 WAR/T | TB12444 | 1900.00 | 06/03/2025 | Text Book |