Deep Convolutional Neural Network for Network-wide QoT Estimation

We propose a novel Deep Convolutional Neural Network formulation for network-wide QoT classification tasks and show its effectiveness for networks with significant topological differences. Our formulation achieves ~99% accuracy on large and diverse test datasets.