A FPGA parameterizable multi-layer architecture for CNNs

Author:

Korol Guilherme1,Moraes Fernando Gehm1

Affiliation:

1. PUCRS - Porto Alegre, Brazil

Funder

Fundacao de Amparo a Pesquisa do Estado do Rio Grande do Sul

CNPq

Publisher

ACM Press

Reference17 articles.

1. Utku Aydonat, Shane O'Connell, Davor Capalija, Andrew C. Ling, and Gordon R. Chiu. 2017. An OpenCLTM Deep Learning Accelerator on Arria 10. In International Symposium on Field-Programmable Gate Arrays, FPGA. 55--64.

2. Florent de Dinechin and Bogdan Pasca. 2011. Designing Custom Arithmetic Data Paths With FloPoCo. IEEE Design &

3. Test of Computers 28 (2011), 18--27.

4. Xiaobing Han, Yanfei Zhong, Liqin Cao, and Liangpei Zhang. 2017. Pre-Trained AlexNet Architecture with Pyramid Pooling and Supervision for High Spatial Resolution Remote Sensing Image Scene Classification. Remote Sensing 9, 8 (2017), 848.

5. Kaiming He, Xiangyu Zhang, et al. 2016. Deep Residual Learning for Image Recognition. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR. 770--778.

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