Method for training and operating an artificial neural network capable of multitasking, artificial neural network capable of multitasking, and device

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12265901
APP PUB NO 20220067482A1
SERIAL NO

17419940

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Abstract

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A method for training an artificial neural network (ANN) capable of multitasking. A first path is provided for a first information flow through the ANN, the first path coupling an input layer with at least one task-spanning intermediate layer which is common to a plurality of differing tasks of the ANN. The first path couples the at least one task-specific intermediate layer with a respective task-specific ANN segment of the tasks. First training data are supplied via the input layer and the first path for training task-spanning parameters that are common to the tasks. At least one task-specific second path is provided for a second information flow through the ANN that differs from the first information flow. The second path couples the input layer with only a subset of the task-specific ANN segments of the tasks, and second training data are supplied for training task-specific parameters via the second path.

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Patent Owner(s)

Patent OwnerAddress
ROBERT BOSCH GMBHPOSTFACH 30 02 20 STUTTGART 70442

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bariamis, Dimitrios Hildesheim, DE 8 20

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