Neural Networks and ApplicationsModel Selection and Inference · 1998KKenneth P. Burnham·DDavid R. Anderson0 KT citations37 views0 saves0 references AbstractAbstract metadata is not available.Research topicsNeural Networks and Applications Continue discoveringRelated researchRandom ForestsDeep learningGradient-based learning applied to document recognitionMultilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based learning technique. Given an appropriate network architecture, gradient-based learning al…
Gradient-based learning applied to document recognitionMultilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based learning technique. Given an appropriate network architecture, gradient-based learning al…
