[01141] On tensor-based training of neural networks
Session Time & Room : 5B (Aug.25, 10:40-12:20) @E802
Type : Contributed Talk
Abstract : In this work by resorting to the continuous ‘model’ of a shallow neural network, we present a novel training approach, that is based on a suitable approximate solution of a Fredholm integral equation of the first kind. Here, we concentrate on least-squares collocation, functional tensor networks and alternating ridge regression. Application of the algorithm to some supervised learning tasks is on par with other state-of-the-art approaches.
