第１のニューラルネットワークモデルと第２のニューラルネットワークモデルとの訓練

Title:

第１のニューラルネットワークモデルと第２のニューラルネットワークモデルとの訓練

Document Type and Number:

Japanese Patent JP7325414

Kind Code:

B2

Abstract:

Described herein are systems and methods for training first and second neural network models. A system comprises a memory comprising instruction data representing a set of instructions and a processor configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to set a weight in the second model based on a corresponding weight in the first model, train the second model on a first dataset, wherein the training comprises updating the weight in the second model and adjust the corresponding weight in the first model based on the updated weight in the second model.

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Inventors:

Jibure Binyam Jiburekidan
Bresh Eric
Mavrydus Dimitros
van den hubel theung
Grosse Casofer Wolf

Application Number:

JP2020527753A

Publication Date:

August 14, 2023

Filing Date:

November 13, 2018

Export Citation:

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Assignee:

Koninklijke Philips N.V.

International Classes:

G06N3/096

Domestic Patent References:

JP2017004142A
JP5197705A

Foreign References:

US20160104056
US20170278018

Attorney, Agent or Firm:

Patent Attorney Corporation M&S Partners

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