Foundations of Deep Learning
portes grátis
Foundations of Deep Learning
He, Fengxiang; Tao, Dacheng
Springer Verlag, Singapore
11/2024
284
Dura
Inglês
9789811682322
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Introduction.- Background.- Conventional Statistical Learning Theory.- Difficulty of Conventional Statistical Learning Theory.- Developing Deep Learning Theory.- Generalization Bounds on Hypothesis Complexity.- Interplay of Optimization, Bayesian Inference, and Generalization.- Geometrical Properties of Loss Surface.- The Role of Over-parametrization.- Rising Concerns in Ethics and Security.- Privacy Preservation.- Fairness Protection.- Algorithmic Robustness.
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Artificial Intelligence;Deep Learning;Machine Learning;Deep Learning Theory;Generalization;Optimization;Approximation
Introduction.- Background.- Conventional Statistical Learning Theory.- Difficulty of Conventional Statistical Learning Theory.- Developing Deep Learning Theory.- Generalization Bounds on Hypothesis Complexity.- Interplay of Optimization, Bayesian Inference, and Generalization.- Geometrical Properties of Loss Surface.- The Role of Over-parametrization.- Rising Concerns in Ethics and Security.- Privacy Preservation.- Fairness Protection.- Algorithmic Robustness.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
