On the Efficiency of Convolutional Neural Networks

Since the breakthrough performance of AlexNet in 2012, convolutional neural networks (convnets) have grown into extremely powerful vision models. Deep learning researchers have used convnets to perform vision tasks with accuracy that was unachievable a decade ago. Confronted with the immense computa...

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Veröffentlicht in:	arXiv.org 2024-05
1. Verfasser:	Lavin, Andrew
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Arithmetic Artificial neural networks Complexity Computational efficiency Computing time Deep learning Efficiency Inductors Machine learning Neural networks
Online-Zugang:	Volltext
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