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AssigneeMitsubishi Electric Corporation
InventorsShoki MIYAGAWA, Yuichi SASAKI
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A model learning device includes processing circuitry to select fixed branches, as branches to be excluded from learning objects, to modify a calculation graph to be used into one of a first calculation graph that uses the plurality of branches and a second calculation graph that uses learning object branches obtained by excluding the fixed branches from the plurality of branches, to calculate inter-branch distances, including distances between features respectively generated by each of the plurality of branches, in a state in which the calculation graph to be used has been modified to the first calculation graph, to calculate a sum total of losses based on a predetermined loss function and the inter-branch distances, and to update weight parameters in the learning object branches based on the sum total of losses in a state in which the calculation graph to be used has been modified to the second calculation graph.
A model learning device that executes transfer learning in regard to a learning model stored in storage, the model learning device comprising:
A model learning method to be executed by a model learning device that executes transfer learning in regard to a learning model stored in storage, the model learning method comprising:
A non-transitory computer-readable storage medium storing a model learning program that causes a computer to execute transfer learning in regard to a learning model stored in storage, wherein the model learning program causes the computer to execute:
Dependencies are inferred from the claim text.