TensorFlow Lite : Solution for running ML on-device /
Pete Warden and Nupur Garg (Google) take you through TensorFlow Lite, TensorFlow's lightweight cross-platform solution for mobile and embedded devices. It enables on-device machine learning inference with low latency, high performance, and a small binary size. It's the standard solution at...
Saved in:
| Main Authors: | , |
|---|---|
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
O'Reilly Media, Inc.,
2020.
|
| Edition: | 1st edition. |
| Subjects: | |
| Online Access: | CONNECT CONNECT |
| LEADER | 02744cgm a2200517Ma 4500 | ||
|---|---|---|---|
| 001 | in00006082572 | ||
| 006 | m o d | ||
| 007 | cr cnu|||||||| | ||
| 008 | 200220s2020 xx --- vleng | ||
| 005 | 20220712182518.1 | ||
| 035 | |a 1WRLDSHRon1143019209 | ||
| 040 | |a AU@ |b eng |c AU@ |d UMI |d OCLCF |d UAB |d TOH |d OCLCO | ||
| 019 | |a 1176539797 |a 1191059498 |a 1224591835 |a 1232117886 |a 1256292530 |a 1305887279 | ||
| 020 | |z 0636920373780 | ||
| 024 | 8 | |a 0636920373803 | |
| 035 | |a (OCoLC)1143019209 |z (OCoLC)1176539797 |z (OCoLC)1191059498 |z (OCoLC)1224591835 |z (OCoLC)1232117886 |z (OCoLC)1256292530 |z (OCoLC)1305887279 | ||
| 037 | |a CL0501000126 |b Safari Books Online | ||
| 050 | 4 | |a Q325.5 | |
| 049 | |a TXMM | ||
| 100 | 1 | |a Warden, Pete, |e author. | |
| 245 | 1 | 0 | |a TensorFlow Lite : |b Solution for running ML on-device / |c Warden, Pete. |
| 250 | |a 1st edition. | ||
| 264 | 1 | |b O'Reilly Media, Inc., |c 2020. | |
| 300 | |a 1 online resource (1 video file, approximately 34 min.) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a video file | ||
| 520 | |a Pete Warden and Nupur Garg (Google) take you through TensorFlow Lite, TensorFlow's lightweight cross-platform solution for mobile and embedded devices. It enables on-device machine learning inference with low latency, high performance, and a small binary size. It's the standard solution at Google and the primary inference framework for all on-device use cases. Prerequisite knowledge Familiarity with ML What you'll learn Learn how TensorFlow Lite tools work and how to convert and optimize models for mobile and embedded devices. | ||
| 542 | |f Copyright © O'Reilly Media, Inc. | ||
| 550 | |a Made available through: Safari, an O'Reilly Media Company. | ||
| 511 | 0 | |a Presenter, Pete Warden, Nupur Garg. | |
| 590 | |a O'Reilly Online Learning Platform: Academic Edition (SAML SSO Access) | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Artificial intelligence. | |
| 655 | 7 | |a Electronic videos. |2 local | |
| 700 | 1 | |a Garg, Nupur, |e author. | |
| 710 | 2 | |a Safari, an O'Reilly Media Company. | |
| 730 | 0 | |a WORLDSHARE SUB RECORDS | |
| 856 | 4 | 0 | |u https://go.oreilly.com/middle-tennessee-state-university/library/view/-/0636920373803/?ar |z CONNECT |3 O'Reilly |t 0 |
| 949 | |a ho0 | ||
| 994 | |a 92 |b TXM | ||
| 998 | |a wi | ||
| 999 | f | f | |s 5bab4413-b9ba-417a-80be-49e2bb1d899b |i 55b11789-8bd6-43c2-b4ab-57500391d1d2 |t 0 |
| 952 | f | f | |a Middle Tennessee State University |b Main |c James E. Walker Library |d Electronic Resources |t 1 |e Q325.5 |h Library of Congress classification |
| 856 | 4 | 0 | |3 O'Reilly |t 0 |u https://go.oreilly.com/middle-tennessee-state-university/library/view/-/0636920373803/?ar |z CONNECT |
