Methods and apparatus for extracting data in deep neural networks

Disclosed is a method and apparatus for extracting data in a deep learning model. The method includes receiving an input query, determining a first decision boundary set being a subset of a decision boundary set corresponding to a target layer of the deep learning model, extracting a decision region...

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Hauptverfasser:	Jeon, Gi Young, Jeong, Hae Dong, Choi, Jae Sik
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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creator	Jeon, Gi Young Jeong, Hae Dong Choi, Jae Sik
description	Disclosed is a method and apparatus for extracting data in a deep learning model. The method includes receiving an input query, determining a first decision boundary set being a subset of a decision boundary set corresponding to a target layer of the deep learning model, extracting a decision region including the input query based on the first decision boundary set, and extracting data included in the decision region.
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title	Methods and apparatus for extracting data in deep neural networks
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