Multi-column deep neural networks for image classification
Published: Jun 1, 2012
Abstract
Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits or traffic signs. Our biologically plausible, wide and deep artificial neural network architectures can. Small (often minimal) receptive fields of convolutional winner-take-all neurons yield large network depth, resulting in roughly as many sparsely connected neural layers as found in mammals between...
Paper Details
Title
Multi-column deep neural networks for image classification
Published Date
Jun 1, 2012
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