Jacob Søgaard Larsen

Weight Sharing and Deep Learning for Spectral Data

We propose a novel method to co-train deep convolutional neural networks for data sets of differing position specific data. This is an advantage in chemometrics where individual measurements represent exact chemical compounds, e.g. for given wavelengths, and thus signals cannot be translated or resi…