Pyramid Vector Quantization for Deep Learning

This paper explores the use of Pyramid Vector Quantization (PVQ) to reduce the computational cost for a variety of neural networks (NNs) while, at the same time, compressing the weights that describe them. This is based on the fact that the dot product between an N dimensional vector of real numbers...

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Bibliographische Detailangaben

1. Verfasser:	Liguori, Vincenzo
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Neural and Evolutionary Computing
Online-Zugang:	Volltext bestellen
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