TinyML : (Record no. 6882)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02600 a2200337 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260128113102.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251106b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789352139606 |
| Qualifying information | (paperback) |
| 040 ## - CATALOGING SOURCE | |
| Language of cataloging | eng |
| Transcribing agency | SAIU |
| Modifying agency | SAIU |
| Description conventions | rda |
| Original cataloging agency | SAIU |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 23 |
| Classification number | 006.31 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Warden, Pete, |
| Relator term | author |
| 245 10 - TITLE STATEMENT | |
| Title | TinyML : |
| Remainder of title | machine learning with TensorFlow Lite on Arduino and ultra-low-power microcontrollers / |
| Statement of responsibility, etc | Pete Warden and Daniel Situnayake. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| Remainder of edition statement | 2nd Indian Reprint 2024 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | India : |
| Name of publisher, distributor, etc | Shroff / O'Reilly Media, |
| Date of publication, distribution, etc | 2019 |
| 264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | India : |
| Name of producer, publisher, distributor, manufacturer | Shroff / O'Reilly Media, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvi, 484 pages : |
| Other physical details | illustrations ; |
| Dimensions | 24 cm |
| 336 ## - Content type term (R) | |
| Source (NR) | rdacontent |
| Content type term (R) | text |
| Content type code (R) | txt |
| 337 ## - Media Type (R) | |
| Source (NR) | rdamedia |
| Media type term (R) | unmediated |
| Media type code (R) | n |
| 338 ## - Carrier Type (R) | |
| Source (NR) | rdacarrier |
| Carrier type term (R) | volume |
| Carrier type code (R) | nc |
| 500 ## - GENERAL NOTE | |
| General note | Includes index. |
| 505 ## - 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 getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size-- small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. |
| 630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | TensorFlow |
| 630 04 - SUBJECT ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | TinyML |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Signal processing |
| General subdivision | Digital techniques |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Microcontrollers |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Situnayake, Daniel, |
| Relator term | author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Home library | Current library | Collection code | Shelving location | Date acquired | Cost, normal purchase price | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Withdrawn status | Date checked out | Total Renewals |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sai University Library | Sai University Library | SCDS | General stacks | 2025-11-06 | 1710.00 | 006.31 WAR | 002104 | 2025-11-06 | 1 | 1900.00 | 2025-11-06 | Reference | Dewey Decimal Classification | ||||||||
| Sai University Library | Sai University Library | SCDS | General stacks | 2025-11-06 | 1710.00 | 1 | 006.31 WAR | 002105 | 2025-11-14 | 2 | 1900.00 | 2025-11-06 | Books | Dewey Decimal Classification | 2025-11-11 | ||||||
| Sai University Library | Sai University Library | SCDS | General stacks | 2025-11-06 | 1710.00 | 006.31 WAR | 002106 | 2025-11-06 | 3 | 1900.00 | 2025-11-06 | Books | Dewey Decimal Classification | ||||||||
| Sai University Library | Sai University Library | SCDS | General stacks | 2025-11-06 | 1710.00 | 2 | 006.31 WAR | 002107 | 2026-01-30 | 4 | 1900.00 | 2025-11-06 | Books | Dewey Decimal Classification | 2025-12-15 | 1 |