Results from the Actor-Model approach. All samples shown are images from the EMNIST data set. Left column: Ground truth images used as Actor-NN input. Middle left: phase mask predictions resulting from the Actor-NN. Middle right: predictions from the Model-NN after the Actor-NN was trained. The correlation between Model-NN prediction and ground truth is Γ ≈ 0.7. Right: experimental results. Using the trained Actor-NN, SLM phase masks are generated that are employed for driving the MPLC. The images shown are camera recordings capturing the MPLC output. Note, that a single-beam and single-passage configuration is considered. The correlation between experiment and Model-NN prediction is Γ ≈ 0.65.