LEARNING DEVICE, INFERENCE DEVICE, AND LEARNED MODEL

LEARNING DEVICE, INFERENCE DEVICE, AND LEARNED MODEL

With respect to an inference method performed by at least one processor, the method includes inputting, by the at least one processor, into a learned model, non-processed object image data of a second object and data related to a second process for the second object, and inferring, by the at least o...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Moki, Hironori, Watanabe, Masaki, Motoki, Daisuke, NAKAGO, Kosuke, Honda, Masanobu, Kato, Takahiko, Niizeki, Tomohiko, Komatsu, Tomoki
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:With respect to an inference method performed by at least one processor, the method includes inputting, by the at least one processor, into a learned model, non-processed object image data of a second object and data related to a second process for the second object, and inferring, by the at least one processor using the learned model, processed object image data of the second object on which the second process has been performed. The learned model has been trained so that an output obtained in response to non-processed object image data of a first object and data related to a first process for the first object being input approaches processed object image data of the first object on which the first process has been performed.