Fig. 8.

Metrics relevant to the UNMIX-ME deep convolutional neural network. The MSE validation loss curves were obtained for each coefficient separately over five separate training iterations for two separate cases - two-spectra, three-lifetime (Fig. 3) and two-spectra, four-lifetime (Fig. 8). The average and standard deviation of each is provided (a, b). Four the two-spectra/four-specie case, 1,000 separate samples were generated and fed into the network in order to perform a t-SNE assessment of each branch individually (c-f).