Convolutional neural networks applied to house numbers digit classification

We classify digits of real-world house numbers using convolutional neural networks (ConvNets). Con-vNets are hierarchical feature learning neural networks whose structure is biologically inspired. Unlike many popular vision approaches that are hand-designed, ConvNets can automatically learn a unique...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Sermanet, P., Chintala, S., LeCun, Y.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Biological neural networks Convolutional codes Error analysis Feature extraction Pattern recognition Training
Online-Zugang:	Volltext bestellen
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