Rational neural networks

We consider neural networks with rational activation functions. The choice of the nonlinear activation function in deep learning architectures is crucial and heavily impacts the performance of a neural network. We establish optimal bounds in terms of network complexity and prove that rational neural...

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Bibliographic Details
Main Authors: Boullé, N, Nakatsukasa, Y, Townsend, A
Format: Conference item
Language:English
Published: Conference on Neural Information Processing Systems 2020