SYSTEM AND METHOD FOR TRAINING NEURAL NETWORK

WIPO Patent Application WO/2018/192200

A1

A method for training a neural network comprising at least one layer comprising a plurality of input nodes, a plurality of output nodes, and a plurality of connections for connecting each one of the plurality of input nodes to each one of the plurality of output nodes, is provided. The method comprises pseudo-randomly selecting a subset of the plurality of connections, each connection of the plurality of connections having associated therewith a weight parameter and a probability of being retained in the neural network, generating output data by feeding input data over the subset of connections, computing an error between the generated output data and desired output data, and, for at least one connection in the subset of connections, determining a contribution of the weight parameter to the error and updating the probability of being retained in the neural network accordingly.

WO/2023/075480	METHOD AND APPARATUS FOR PROVIDING CLINICAL PARAMETER FOR PREDICTED TARGET REGION IN MEDICAL IMAGE, AND METHOD AND APPARATUS FOR SCREENING MEDICAL IMAGE FOR LABELING
JP2024000676	Machine learning devices, machine learning methods, and machine learning programs
WO/2021/040345	ELECTRONIC DEVICE AND METHOD FOR CONTROLLING ELECTRONIC DEVICE

KHARAGHANI SEPIDEH (CA)
COURVILLE VANESSA (CA)
DALTON BARNABY (CA)

PCT/CN2017/106363

October 25, 2018

October 16, 2017

Click for automatic bibliography generation  

HUAWEI TECH CO LTD (CN)

G06N3/08

CN103903003A	2014-07-02
CN105512725A	2016-04-20
CN105426962A	2016-03-23
US20080281767A1	2008-11-13

View/Download PDF      PDF Help

Previous Patent: MULTI-JUNCTION LAMINATED LASER PHOTOVOLTAIC CELL AND MANUFACTURING METHOD THEREOF

Next Patent: AUTOMATIC SANDBLASTING MACHINE FOR SILICON ROD WAFER DICING MACHINE OVER-LINE WHEEL