Extended Data Fig. 8: Supervised learning architecture for amplitude-only modulation.

a- Schematic of a neural network (NN) that is made of one single network as an alternative architecture for the Actor–Model network proposed in the main text. The single NN is trained with images obtained from the camera and the corresponding input control patterns (here amplitude-only control patterns). Once trained, the target image is directly passed on to the network and is asked for its corresponding control pattern. The predicted pattern is then sent through the fiber. b- The average fidelity trajectory of the projected images of 20000 Latin alphabet characters versus the training iteration number.