  The intricate relationship between electrons and the crystal lattice is a
linchpin in condensed matter, traditionally described by the Fr\"ohlich model
encompassing the lowest-order lattice-electron coupling. Recently developed
quantum acoustics, emphasizing the wave nature of lattice vibrations, has
enabled the exploration of previously uncharted territories of electron-lattice
interaction not accessible with conventional tools such as perturbation theory.
In this context, our agenda here is two-fold. First, we showcase the
application of machine learning methods to categorize various interaction
regimes within the subtle interplay of electrons and the dynamical lattice
landscape. Second, we shed light on a nebulous region of electron dynamics
identified by the machine learning approach and then attribute it to transient
localization, where strong lattice vibrations result in a momentary Anderson
prison for electronic wavepackets, which are later released by the evolution of
the lattice. Overall, our research illuminates the spectrum of dynamics within
the Fr\"ohlich model, such as transient localization, which has been suggested
as a pivotal factor contributing to the mysteries surrounding strange metals.
Furthermore, this paves the way for utilizing time-dependent perspectives in
machine learning techniques for designing materials with tailored
electron-lattice properties.
