Machine learning apparatus, electronic device, machine learning program, and simulation apparatus
AssigneeRohm Co., Ltd.
InventorKenji HAMACHI
Life of this patent
Estimating the term…
Abstract
A machine learning apparatus includes a model holder, a data storage, and a model computing unit. The model holder holds a first machine learning model having undergone supervised learning and a second machine learning model having undergone unsupervised learning. The model computing unit inputs input data to the first machine learning model to generate first output data and inputs the input data also to the second machine learning model to generate accuracy data. The accuracy data is calculated based on a value in at least one of the input layers, the middle layer, and the output layer of the second machine learning model such that the accuracy data changes its tendency in response to the first output data.
Claims7
A machine learning apparatus comprising:
- a model holder configured to hold a first machine learning model having undergone supervised learning and a second machine learning model having undergone unsupervised learning;
- a data storage configured to store input data to be input to the first and second machine learning models;
- and
- a computing unit configured
- to input the input data to the first machine learning model to generate first output data and
- to input the input data to the second machine learning model to generate accuracy data,
- wherein
- the second machine learning model includes:
- an input layer;
- an output layer;
- and
- at least one middle layer between the input and output layers, and
- the accuracy data is calculated based on a value in at least one of the input layer, the middle layer, and the output layer such that the accuracy data changes a tendency thereof in response to the first output data.
Dependencies are inferred from the claim text.