Optimized Deep Neural Networks for Real-Time Object Classification on Embedded GPUs
Convolution is the most computationally intensive task of the Convolutional Neural Network (CNN). It requires a lot of memory storage and computational power. There are different approaches to compute the solution of convolution and reduce its computational complexity. In this paper, a matrix multip...
| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
MDPI AG
2017-08-01
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| Series: | Applied Sciences |
| Subjects: | |
| Acceso en liña: | https://www.mdpi.com/2076-3417/7/8/826 |