AUTOMATIC THRESHOLDS FOR NEURAL NETWORK PRUNING AND RETRAINING

AUTOMATIC THRESHOLDS FOR NEURAL NETWORK PRUNING AND RETRAINING

An embodiment includes a method, comprising: pruning a layer of a neural network having multiple layers using a threshold; and repeating the pruning of the layer of the neural network using a different threshold until a pruning error of the pruned layer reaches a pruning error allowance.

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Bibliographische Detailangaben
Hauptverfasser: SHIM, Eunsoo, OVSIANNIKOV, Ilia, BROTHERS, John Wakefield, JI, Zhengping
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:An embodiment includes a method, comprising: pruning a layer of a neural network having multiple layers using a threshold; and repeating the pruning of the layer of the neural network using a different threshold until a pruning error of the pruned layer reaches a pruning error allowance.