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RecurrentNeuralNetworksforPredictionoffersanewinsightintothelearningalgorithms,architecturesandstabi
这是CNN领域的经典,里面详述了有关CNN的理论和在图像处理里的应用,注意是,是英文原本哦,希望大家共同学习
Stuart Geman在1992年的论文,周志华的机器学习中也提到过,关于偏差 泛化误差的计算也源自这篇论文。英文的。
In this article, we give a quick introduction on how deep learning in security works and explore the
ntroductiontotheMathofNeuralNetworks
hinton的关于deeplearning的representation
GiuseppeCiaburro;BalajiVenkateswaran著NeuralNetworkandArtificialIntelligenceConceptsIntroductionInspi
Springer.Artificial.Neural.Networks
NeuralNetworksforRobotics:AnEngineeringPerspectiveBy作者:NancyArana-Daniel–AlmaY.Alanis–CarlosLopez-Fr
Deep neural networks (DNNs) have recently been achieving state-of-the-art performance on a variety o
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