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A High-Precision Implementation of the Sigmoid Activation Function for Computing-in-Memory Architecture
Computing-In-Memory (CIM), based on non-von Neumann architecture, has lately received significant attention due to its lower overhead in delay and higher energy efficiency in convolutional and fully-connected neural network computing. Growing works have given the priority to researching the array of...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540118/ https://www.ncbi.nlm.nih.gov/pubmed/34683234 http://dx.doi.org/10.3390/mi12101183 |