Applications of Shallow Neural Networks part2(Machine Learning)
1.Limitations on approximation by deep and shallow neural networks (arXiv) Author : Guergana Petrova, Przemysław Wojtaszczyk Abstract : : We prove Carl’s type inequalities for the error of approximation of compact sets K by deep and shallow neural networks. This in turn gives lower bounds on how well we can…
Applications of Shallow Neural Networks part2(Machine Learning) 1.Limitations on approximation by deep and shallow neural networks (arXiv) Author : Guergana Petrova, Przemysław Wojtaszczyk Abstract : : We prove Carl’s type inequalities for the error of approximation of compact sets K by deep and shallow neural networks. This in turn gives lower bounds on how well we can… deep-learning
Applications Shallow Neural Networks part2Machine Learning 1Limitations approximation deep shallow neural network arXiv Author Guergana Petrova Przemysław Wojtaszczyk Abstract prove Carl’s type inequality error approximation compact set K deep shallow neural network turn give lower bound well can… deeplearning