CN106355247B - 数据处理方法和装置、芯片和电子设备 - Google Patents
数据处理方法和装置、芯片和电子设备 Download PDFInfo
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- CN106355247B CN106355247B CN201610677041.3A CN201610677041A CN106355247B CN 106355247 B CN106355247 B CN 106355247B CN 201610677041 A CN201610677041 A CN 201610677041A CN 106355247 B CN106355247 B CN 106355247B
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- 238000003672 processing method Methods 0.000 title claims abstract description 20
- 210000004205 output neuron Anatomy 0.000 claims abstract description 196
- 238000000034 method Methods 0.000 claims abstract description 75
- 210000002364 input neuron Anatomy 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims description 44
- 238000001514 detection method Methods 0.000 claims description 16
- 210000002569 neuron Anatomy 0.000 claims description 12
- 230000004044 response Effects 0.000 claims description 12
- 230000001186 cumulative effect Effects 0.000 claims description 11
- 238000012360 testing method Methods 0.000 claims description 6
- 238000013527 convolutional neural network Methods 0.000 abstract description 10
- 238000012549 training Methods 0.000 abstract description 7
- 210000005036 nerve Anatomy 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000000630 rising effect Effects 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 238000011176 pooling Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
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CN106355247A CN106355247A (zh) | 2017-01-25 |
CN106355247B true CN106355247B (zh) | 2019-03-08 |
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Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN107657312B (zh) * | 2017-09-18 | 2021-06-11 | 东南大学 | 面向语音常用词识别的二值网络实现系统 |
CN109978130A (zh) * | 2017-12-28 | 2019-07-05 | 北京中科寒武纪科技有限公司 | 集成电路芯片装置及相关产品 |
CN108986453A (zh) * | 2018-06-15 | 2018-12-11 | 华南师范大学 | 一种基于情境信息的交通状况预测方法、系统及装置 |
Citations (2)
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CN104463324A (zh) * | 2014-11-21 | 2015-03-25 | 长沙马沙电子科技有限公司 | 一种基于大规模高性能集群的卷积神经网络并行处理方法 |
CN105488565A (zh) * | 2015-11-17 | 2016-04-13 | 中国科学院计算技术研究所 | 加速深度神经网络算法的加速芯片的运算装置及方法 |
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US7747070B2 (en) * | 2005-08-31 | 2010-06-29 | Microsoft Corporation | Training convolutional neural networks on graphics processing units |
US20160026912A1 (en) * | 2014-07-22 | 2016-01-28 | Intel Corporation | Weight-shifting mechanism for convolutional neural networks |
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Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN104463324A (zh) * | 2014-11-21 | 2015-03-25 | 长沙马沙电子科技有限公司 | 一种基于大规模高性能集群的卷积神经网络并行处理方法 |
CN105488565A (zh) * | 2015-11-17 | 2016-04-13 | 中国科学院计算技术研究所 | 加速深度神经网络算法的加速芯片的运算装置及方法 |
Non-Patent Citations (1)
Title |
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基于FPGA的卷积神经网络并行结构研究;陆志坚;《中国博士学位论文全文数据库 信息科技辑》;20140415(第4期);I140-12 |
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