Optimised Extension of an Ultra-Low-Power RISC-V Processor to Support Lightweight Neural Network Models
With the increasing demand for efficient deep learning models in resource-constrained environments, Binary Neural Networks (BNNs) have emerged as a promising solution due to their ability to significantly reduce computational complexity while maintaining accuracy. Their integration into embedded and...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Chips |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2674-0729/4/2/13 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|