DeepX: Deep Learning Accelerator for Restricted Boltzmann Machine Artificial Neural Networks

IEEE Transactions on Neural Networks and Learning Systems - Tập 29 Số 5 - Trang 1441-1453 - 2018
Lok-Won Kim1
1Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea

Tóm tắt

Từ khóa


Tài liệu tham khảo

10.1109/TNN.2003.811357

10.1016/j.patcog.2004.01.013

10.1109/TIE.2006.888791

10.1109/12.210171

kim, 2015, Bitwise neural networks, Proc Int Conf Mach Learn, 6

gupta, 2015, Deep Learning with Limited Numerical Precision

10.1109/FPL.2009.5272559

10.1145/2684746.2689060

10.1145/1553374.1553486

10.1109/TNN.2010.2073481

ly, 2008, Neural networks on GPUs: Restricted Boltzmann machines

10.1109/TASL.2011.2109382

liu, 2013, An asynchronous parallel stochastic coordinate descent algorithm

10.1016/j.patcog.2010.12.012

lindsey, 1994, Review of hardware neural networks: A users perspective, Proc 3rd Workshop Neural Networks, 26

10.1145/1508128.1508140

10.1016/j.ijar.2008.11.006

10.1016/j.engappai.2004.08.011

zhu, 2003, FPGA implementations of neural networks—A survey of a decade of progress, Proc Intl Conf Field Programmable Logic and Appl, 1062

10.1109/ICASSP.2011.5947494

10.1109/4.104196

10.1162/neco.2006.18.7.1527

10.1109/FCCM.2010.38

10.1162/neco.2010.01-09-953

10.1145/2539125

10.1090/S0025-5718-1965-0184406-1

10.1049/ip-cds:19971587

lecun, 1998, Efficient backprop, Lecture Notes in Computer Science, 9, 10.1007/3-540-49430-8_2

10.1126/science.1127647