A deep learning approach for analyzing the composition of chemometric data

Muhammad Bilal, Mohib Ullah

We propose novel deep learning based chemometric data analysis technique. We trained L2 regularized sparse autoencoder end-to-end for reducing the size of the feature vector to han…