Design of universal convolutional layer IP core based on FPGA
Aiming at the problems of insufficient computing speed and poor portability in the miniaturization and parallelization of convolutional neural network,this paper proposes a design of high-speed universal convolutional layer IP core using VHDL language based on the characteristics of convolutional ne...
Guardado en:
Autores principales: | Guochen AN, Hongtuo YUAN, Xiulu HAN, Xiaojun WANG, Yujia HOU |
---|---|
Formato: | article |
Lenguaje: | ZH |
Publicado: |
Hebei University of Science and Technology
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8b62227a47d046a5af79d9621ec59363 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
FPGA-Based Convolutional Neural Network Accelerator with Resource-Optimized Approximate Multiply-Accumulate Unit
por: Mannhee Cho, et al.
Publicado: (2021) -
Interference Signal Identification of Sensor Array Based on Convolutional Neural Network and FPGA Implementation
por: Lin Huang, et al.
Publicado: (2021) -
Block-Based Compression and Corresponding Hardware Circuits for Sparse Activations
por: Yui-Kai Weng, et al.
Publicado: (2021) -
A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets
por: Emmanuel Pintelas, et al.
Publicado: (2021) -
Kohonen Network-Based Adaptation of Non Sequential Data for Use in Convolutional Neural Networks
por: Michał Bereta
Publicado: (2021)