Hyperparameter adjustment device, non-transitory recording medium in which hyperparameter adjustment program is recorded, and hyperparameter adjustment program
AssigneeAizoth Inc.
InventorKotaro Kawajiri
Life of this patent
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AssigneeAizoth Inc.
InventorKotaro Kawajiri
Estimating the term…
A learning processing unit that causes a second neural network (NN) to be trained, with a hyperparameter set of a first NN accepted as input, so as to output post-learning performance that is the performance of a trained first NN to which the hyperparameter set is set. A GA processing unit adjusts the hyperparameter set of the first NN by a genetic algorithm, with the hyperparameter set of the first NN handled as entity, the fitness of said algorithm being configured to be a value that corresponds to the post-learning performance of the first NN to which the hyperparameter set is set. In processing in each generation of the genetic algorithm, the post-learning performance of the first NN corresponding to each hyperparameter is acquired using the second NN.
A hyperparameter tuning device including a processor, the hyperparameter tuning device comprising:
A non-transitory computer-readable recording medium in which a hyperparameter tuning program is recorded, the hyperparameter tuning program causing a computer to function as:
Dependencies are inferred from the claim text.