Deep, Big, Simple Neural Nets for Handwritten Digit Recognition
Abstract
Good old online backpropagation for plain multilayer perceptrons yields a very low 0.35% error rate on the MNIST handwritten digits benchmark. All we need to achieve this best result so far are many hidden layers, many neurons per layer, numerous deformed training images to avoid overfitting, and graphics cards to greatly speed up...
Paper Details
Title
Deep, Big, Simple Neural Nets for Handwritten Digit Recognition
Published Date
Dec 1, 2010
Journal
Volume
22
Issue
12
Pages
3207 - 3220
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