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We apply deep learning for retrieval of the time-dependent bond length in thedissociating two-dimensional H$_2^{+}$ molecule using photoelectron momentumdistributions. We consider a pump-probe scheme and calculate electron momentumdistributions from strong-field ionization by treating the motion of the nucleiclassically, semiclassically or quantum mechanically. A convolutional neuralnetwork trained on momentum distributions obtained at fixed internucleardistances retrieves the time-varying bond length with an absolute error of$0.2$-$0.3$ a.u.

Convolutional neural network for retrieval of the time-dependent bond length in a molecule from photoelectron momentum distributions