论文笔记 - Deep Semi-Random Features for Nonlinear Function Approximation

Abstract Introduction Background Semi-Random Features One Hidden Layer Model Universal Approximation Ability Optimization Theory Generalization Guarantee Multilayer Model Benefit of Depth Optimization

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