Digital implementation of radial basis function neural networks based on stochastic computing
Nowadays Internet of Things (IoT) and mobile systems use more and more Machine
Learning based solutions, which implies a high computation cost with a low energy …
Learning based solutions, which implies a high computation cost with a low energy …
[HTML][HTML] Parallel stochastic computing architecture for computationally intensive applications
Stochastic computing requires random number generators to generate stochastic
sequences that represent probability values. In the case of an 8-bit operation, a 256-bit …
sequences that represent probability values. In the case of an 8-bit operation, a 256-bit …
Approximate arithmetic aware training for stochastic computing neural networks
Deploying modern neural networks on resource-constrained edge devices requires a series
of optimizations to prepare them for production. These optimizations typically involve …
of optimizations to prepare them for production. These optimizations typically involve …
Hardware Implementation of Machine Learning and Deep-Learning Systems oriented to Image Processing
F Frasser, C Camilo - 2022 - repositori.uib.es
[eng] Machine Learning (ML) and Deep Learning (DL) have experienced a booming interest
from the research community in the last decade. Unfortunately, the implementation of such …
from the research community in the last decade. Unfortunately, the implementation of such …
Hardware Implementation of Machine Learning and Deep-Learning Systems oriented to Image Processing
CC Franco Frasser - dspace.uib.es
[eng] Machine Learning (ML) and Deep Learning (DL) have experienced a booming interest
from the research community in the last decade. Unfortunately, the implementation of such …
from the research community in the last decade. Unfortunately, the implementation of such …