Deep Learning, Gaussian Process, Active Learning, Bayesian Optimization.
scanning probe microscopes. Figure 3. Deep kernel learning: training and prediction steps. The training inputs are (structural) image patches and targets are scalar values of the physical functionality of interest (usually derived from spectroscopic curves measured in those patches). At the