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Patent Searching and Data


Title:
ARTIFICIAL NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2018/218651
Kind Code:
A1
Abstract:
According to an example aspect of the present invention, there is provided an apparatus comprising memory configured to store convolutional artificial neural network information comprising at least one filter definition, and at least one processing core configured to generate, from a preceding layer, a convolutional result of a succeeding layer of the artificial neural network in accordance with the at least one filter definition, and generate, from the convolutional result, an activation result of the succeeding layer by using an activation function, the activation function taking three arguments, the three arguments being derived from the convolutional result.

Inventors:
LI HONGYANG (CN)
Application Number:
PCT/CN2017/086972
Publication Date:
December 06, 2018
Filing Date:
June 02, 2017
Export Citation:
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Assignee:
NOKIA TECHNOLOGIES OY (FI)
NOKIA TECH BEIJING CO LTD (CN)
International Classes:
G06N3/08; G06V10/764
Domestic Patent References:
WO2017015887A12017-02-02
WO2016182674A12016-11-17
Foreign References:
KR20170023708A2017-03-06
CN106203283A2016-12-07
CN106355244A2017-01-25
Other References:
XIANG WU ET AL., A LIGHT CNN FOR DEEP FACE REPRESENTATION WITH NOISY LABELS, 24 April 2017 (2017-04-24)
COSMA CLAUDIU ET AL., PEDESTRIAN DETECTION USING A CASCADE OF LBP AND HOG CLASSIFIERS, 5 September 2013 (2013-09-05)
DAT NGUYEN ET AL., PERSON RECOGNITION SYSTEM BASED ON A COMBINATION OF BODY IMAGES FROM VISIBLE LIGHT AND THERMAL CAMERAS, 16 March 2017 (2017-03-16)
Attorney, Agent or Firm:
KING & WOOD MALLESONS (CN)
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