Torrent details for "El-Makkaoui K. Tiny Machine Learning Techniques for Constrained …" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
22.9 MB
Info Hash:
69624F7E85CD9CA52809284C120B0D459B806928
Added By:
Added:
March 2, 2026, 10:22 p.m.
Stats:
|
(Last updated: May 29, 2026, 10:45 p.m.)
| File | Size |
|---|---|
| El-Makkaoui K. Tiny Machine Learning Techniques for Constrained Devices 2026.pdf | 22.9 MB |
Name
DL
Uploader
Size
S/L
Added
NOTE
SOURCE: El-Makkaoui K. Tiny Machine Learning Techniques for Constrained Devices 2026
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format
Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of Tiny Machine Learning (TinyML), enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge Internet of Things (IoT) nodes. This book provides a comprehensive guide to designing, optimizing, securing, and applying TinyML models in real-world constrained environments
×