Example of the application of a CNN on one cross-correlated spectrum. For each sample of a cross-correlation N, and for all M template channels, the convolution filter runs across the channels and along the RV series. The filter depth is M, and its size is optimised according to the training. Hence, for a same series cross-correlated with M different templates, those convolutional layers allow to filter out important and recurrent patterns.