Affiliation:
1. Tokyo Institute of Technology
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Reference22 articles.
1. [1] Y. Lecun, Y. Bengio, and G. Hinton, “Deep learning,” Nature, vol.521, pp.436-444, 5 2015. 10.1038/nature14539
2. [2] S. Han, J. Pool, J. Tran, and W. Dally, “Learning both weights and connections for efficient neural network,” Advances in neural information processing systems, pp.1135-1143, 2015.
3. [3] M. Shimoda, Y. Sada, and H. Nakahara, “Filter-wise pruning approach to FPGA implementation of fully convolutional network for semantic segmentation,” Proc. 15th International Symposium on Applied Reconfigurable Computing, pp.371-386, Darmstadt, Germany, April 2019. 10.1007/978-3-030-17227-5_26
4. [4] A. Krizhevsky, I. Sutskever, and G.E. Hinton, “Imagenet classification with deep convolutional neural networks,” Proc. 25th Int. Conf. Neural Information Processing Systems-Volume 1, NIPS'12, (USA), pp.1097-1105, Curran Associates Inc., 2012. 10.1145/3065386
5. [5] J. Li, G. Yan, W. Lu, S. Jiang, S. Gong, J. Wu, and X. Li, “Ccr: A concise convolution rule for sparse neural network accelerators,” 2018 Design, Automation Test in Europe Conference Exhibition (DATE), pp.189-194, March 2018. 10.23919/DATE.2018.8342001
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