How Universal approximation theorem works part1(Machine Learning)
1.Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks (arXiv) Author : Wington L. Vital, Guilherme Vieira, Marcos Eduardo Valle Abstract : The universal approximation theorem asserts that a single hidden layer neural network approximates continuous functions with any desired precision on compact sets. As an…
How Universal approximation theorem works part1(Machine Learning) 1.Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks (arXiv) Author : Wington L. Vital, Guilherme Vieira, Marcos Eduardo Valle Abstract : The universal approximation theorem asserts that a single hidden layer neural network approximates continuous functions with any desired precision on compact sets. As an… deep-learning
Universal approximation theorem work part1Machine Learning 1Extending Universal Approximation Theorem Broad Class HypercomplexValued Neural Networks arXiv Author Wington L Vital Guilherme Vieira Marcos Eduardo Valle Abstract universal approximation theorem asserts single hidden layer neural network approximates continuous function desired precision compact set an… deeplearning