Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks

2 code implementations • 12 Nov 2019 • Michele Alberti, Angela Botros, Narayan Schuez, Rolf Ingold, Marcus Liwicki, Mathias Seuret

In this work, we investigate the application of trainable and spectrally initializable matrix transformations on the feature maps produced by convolution operations.

Handwriting Recognition