Asynchronous layerwise deep learning with MCMC on low-power devices
We present a new architecture to learn a light neural network using an asynchronous layerwise bayesian optimization process deployed on low-power devices. The procedure is based on a sequence of five modules. In each module, an accept-reject algorithm allows to update real-valued - or binary - weigh...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | ESAIM: Proceedings and Surveys |
| Online Access: | https://www.esaim-proc.org/articles/proc/pdf/2025/03/proc20258006.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|