Method for selecting learned model corresponding to sensing data and provisioning selected learned model, and learned model provision device
Abstract:
A method for selectively providing a learned model using a learned model providing device includes saving various learned models and model information associated with a generation environment in a database of the learned model providing device. The generation environment indicates an environment where sensing data used for generating each of the learned models is sensed. The method further includes acquiring needs information associated with a use environment of a user side device, and selecting one of the learned model suitable for the needs information by referring to the model information by a processor of the learned model providing device.
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