Faster Neural Network Training with Approximate Tensor Operations

We propose a novel technique for faster deep neural network training which systematically applies sample-based approximation to the constituent tensor operations, i.e., matrix multiplications and convolutions. We introduce new sampling techniques, study their theoretical properties, and prove that t...

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Bibliographische Detailangaben

Hauptverfasser:	Adelman, Menachem, Levy, Kfir Y, Hakimi, Ido, Silberstein, Mark
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Neural and Evolutionary Computing Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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