Lite-CNN: a high-performance architecture to execute CNNs in low density FPGAs

Due to the computational complexity of Convolutional Neural Networks (CNNs), high performance platforms are generally considered for their execution. However, CNNs are very useful in embedded systems and its execution right next to the source of data has many advantages, like avoiding the need for d...

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Detalhes bibliográficos
Autor principal: Véstias, Mário (author)
Outros Autores: Duarte, Rui (author), De Sousa, Jose (author), Cláudio de Campos Neto, Horácio (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2018
Assuntos:
Embedded computing
Deep learning
Convolutional neural network
Field-programmable gate array
Texto completo:http://hdl.handle.net/10400.21/8903
País:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/8903

Texto Completo

http://hdl.handle.net/10400.21/8903

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