Chaos control and synchronization, Neural Networks and ApplicationsNonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and EngineeringComputers in Physics · 1994SSteven H. Strogatz·MMark J. Friedman·AA. John Mallinckrodt·SSusan R. McKay0 KT citations32 views0 saves0 references AbstractAbstract metadata is not available.Research topicsChaos control and synchronizationNeural 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…