RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays

Analog arrays are a promising emerging hardware technology with the potential to drastically speed up deep learning. Their main advantage is that they employ analog circuitry to compute matrix-vector products in constant time, irrespective of the size of the matrix. However, ConvNets map very unfavo...

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Detalles Bibliográficos
Autores principales: Rasch, Malte J., Gokmen, Tayfun, Rigotti, Mattia, Haensch, Wilfried
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6682637/
https://www.ncbi.nlm.nih.gov/pubmed/31417340
http://dx.doi.org/10.3389/fnins.2019.00753

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6682637/
https://www.ncbi.nlm.nih.gov/pubmed/31417340
http://dx.doi.org/10.3389/fnins.2019.00753

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