Fig. 6: Floquet extreme learning for parallel image classification.
From: Electromagnetic wave-based extreme deep learning with nonlinear time-Floquet entanglement
a, b Examples of realizations taken from the MNIST and COVID-19 X-ray datasets. c Simulated spectra of readout nodes for two different channels. d, e Evolution of the loss function for MNIST and COVID-19 classifications, respectively. f, g Corresponding confusion matrices, for condition classification.
