CPC G06V 20/56 (2022.01) [G01S 13/89 (2013.01); G06N 3/08 (2013.01); G06V 10/82 (2022.01)] | 14 Claims |
1. An information processing method executed by processing circuitry, the method comprising:
generating feature data that numerically represents a feature of a feature map generated from input data in a model using a neural network;
generating analysis data based on the feature data of a plurality of feature maps; and
displaying the generated analysis data as feature data, based on feature maps generated from a same input data, arranged in numerical order of the feature maps in a first axis direction and feature data, based on feature maps corresponding to different input data, arranged in numerical order of the different input data in a second axis direction orthogonal to the first axis direction, wherein the generated analysis data is displayed as an image in which pixels represent values of the feature data of a given input data and a given feature map, and the image is indicative of a state of learning of the model using the neural network.
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