Transfer Learning Aided PT-CNN in Coherent Optical Communication Systems

In this paper, we propose a transfer learning aided perturbation theory based convolutional neural network (PT -CNN) equalizer in coherent optical communication systems. We have experimentally demonstrated that transfer learning process can accelerate the update for flexible communication backbone network.