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...
Main Authors: | , , |
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Format: | Conference item |
Language: | English |
Published: |
Conference on Neural Information Processing Systems
2020
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