ASIC Design of Nanoscale Artificial Neural Networks for Inference/Training by Floating-Point Arithmetic
| Authors: | , , , , , |
|---|---|
| Format: | article |
| Publication Date: | 2024 |
| Country: | España |
| Institution: | Universidad Politécnica de Madrid |
| Repository: | Archivo Digital UPM |
| OAI Identifier: | oai:oa.upm.es:80698 |
| Online Access: | https://oa.upm.es/80698/ |
| Access Level: | Open access |
| Keyword: | Neurons Training Hardware Backpropagation Artificial neural networks Vectors Nanoscale devices Artificial neural network (ANN) multilayer perceptron (MLP) floating-point ASIC design inference training |
| Description not available. |