LEARNING METHOD FOR ENHANCING ROBUSTNESS OF A NEURAL NETWORK

LEARNING METHOD FOR ENHANCING ROBUSTNESS OF A NEURAL NETWORK

A learning method of a neural network system includes preparing a second neural network having the same weights as a first neural network which is pre-trained; adding noise to weights of the first neural network; generating a first output data of the first neural network and generating a second outp...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: PARK, Sein, PARK, Eunhyeok
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A learning method of a neural network system includes preparing a second neural network having the same weights as a first neural network which is pre-trained; adding noise to weights of the first neural network; generating a first output data of the first neural network and generating a second output data of the second neural network by providing input data to the first neural network and the second neural network; and calculating a loss function using the first output data, the second output data, and a true value corresponding to the input data.