Apparatus and Method for Generating Sampling Model for Uncertainty Prediction Apparatus for Predicting Uncertainty

摘要

The present invention is an apparatus for predicting uncertainty, an artificial neural network model trained based on deep learning, sampling models modeled by each of at least two or more weights sampled in a learning process of an artificial neural network model, artificial neural network model and sampling models After the same data is input to each, it includes an output generating unit that aggregates the output values output from each and generates a result value reflecting uncertainty.