2021
On the Provable Generalization of Recurrent Neural Networks
NeurIPS 2021poster
Recurrent Neural Network (RNN) is a fundamental structure in deep learning. Recently, some works study the training process of over-parameterized neural networks, and show that over-parameterized networks can learn functions in some notable concept classes with a provable generalization error bound.…