Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices

With the recent growth of the Internet of Things (IoT) and the demand for faster computation, quantized neural networks (QNNs) or QNN-enabled IoT can offer better performance than conventional convolution neural networks (CNNs). With the aim of reducing memory access costs and increasing the computa...

Descripción completa

Detalles Bibliográficos
Autores principales: Biswal, Manas Ranjan, Delwar, Tahesin Samira, Siddique, Abrar, Behera, Prangyadarsini, Choi, Yeji, Ryu, Jee-Youl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699191/
https://www.ncbi.nlm.nih.gov/pubmed/36433289
http://dx.doi.org/10.3390/s22228694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699191/
https://www.ncbi.nlm.nih.gov/pubmed/36433289
http://dx.doi.org/10.3390/s22228694

Ejemplares similares