Torrent details for "Unsalan C. Embedded Machine Learning with Microcontrollers...STM…" 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:
13.9 MB
Info Hash:
D32EEB8B660B40F59631A23998E740AAC9DB0050
Added By:
Added:
June 5, 2025, 10:31 a.m.
Stats:
|
(Last updated: June 7, 2025, 3 p.m.)
| File | Size |
|---|---|
| ['Unsalan C. Embedded Machine Learning with Microcontrollers...STM32...Boards 2025.pdf'] | 0 bytes |
NOTE
SOURCE: Unsalan C. Embedded Machine Learning with Microcontrollers...STM32...Boards 2024
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. Covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers, microprocessor systems, and embedded systems. Following the learning by doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples that will provide them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify low-level microcontroller properties, the material allows for more control of the developed system. Students will be guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and course slides are available
×