  This work demonstrates a computational method for predicting the light
propagation through a single multimode fiber using a deep neural network. The
experiment for gathering training and testing data is performed with a digital
micro-mirror device that enables the spatial light modulation. The modulated
patterns on the device and the captured intensity-only images by the camera
form the aligned data pairs. This sufficiently-trained deep neural network
frame has very excellent performance for directly inferring the intensity-only
output delivered though a multimode fiber. The model is validated by three
standards: the mean squared error (MSE), the correlation coefficient (corr) and
the structural similarity index (SSIM).
