most citedConvergence of Deep Neural Networks with General Activation Functions and Pooling

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cs.LG2026

Neural Approximation by Function Composition: Rigidity and Doubly Exponential Convergence

Wentao Huang, Haizhang Zhang

Deep neural networks approximate functions by composing affine maps with nonlinear activations, but how composition itself creates approximation power is not yet fully understood.…

cs.LG2022★ 1 cited

Convergence of Deep Neural Networks with General Activation Functions and Pooling

Wentao Huang, Yuesheng Xu, Haizhang Zhang

Deep neural networks, as a powerful system to represent high dimensional complex functions, play a key role in deep learning. Convergence of deep neural networks is a fundamental i…