Neural Structured Learning in TensorFlow TF introduces Neur | Juicy Data
Neural Structured Learning in TensorFlow
TF introduces Neural Structured Learning (NSL) which is a new learning paradigm to train neural networks by leveraging structured signals in addition to feature inputs. Structure can be explicit as represented by a graph or implicit as induced by adversarial perturbation.
