Title:
畳み込みニューラルネットワーク
Document Type and Number:
Japanese Patent JP6805984
Kind Code:
B2
Abstract:
A image recognition system includes a first convolution layer, a pooling layer, a second convolution layer, a crossbar circuit having a plurality of input lines, at least one output line intersecting with the input lines, and a plurality of weight elements that are provided at intersection points between the input lines and the output line, weights each input value input to the input lines to output to the output line, and a control portion that selects from convolution operation results of the first convolution layer, an input value needed to acquire each pooling operation result needed to perform second filter convolution operation at each shift position in the second convolution layer, and inputs the input value selected to the input lines.
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Inventors:
Kataheva Irina
Shigeki Otsuka
Shigeki Otsuka
Application Number:
JP2017133046A
Publication Date:
December 23, 2020
Filing Date:
July 06, 2017
Export Citation:
Assignee:
株式会社デンソー
International Classes:
G06N3/063; G06F17/10; G06G7/60; G06T7/00
Domestic Patent References:
| JP2017078934A |
Foreign References:
| US20160284400 | ||||
| WO2017106464A1 |
Other References:
YAKOPCIC, Chris et al.,"Memristor Crossbar Deep Network Implementation Based on a Convolutional Neural Network",2016 International Joint Conference on Neural Networks (IJCNN) [online],米国,IEEE,2016年,pp.963-970,[検索日 2018.06.11],URL,https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727302
Attorney, Agent or Firm:
Kazuyuki Yahagi
Taihei Nonobe
Takanori Kubo
Taihei Nonobe
Takanori Kubo