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.
📃 NSL Overview: http://bit.ly/2lYh3au
🚩GitHub: http://bit.ly/2lDaLwx
🔎BlogPost: https://telegra.ph/Neural-Structured-Learning-in-TensorFlow-09-04
#⃣ #nsl #tf #tensorflow #ai
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.
📃 NSL Overview: http://bit.ly/2lYh3au
🚩GitHub: http://bit.ly/2lDaLwx
🔎BlogPost: https://telegra.ph/Neural-Structured-Learning-in-TensorFlow-09-04
#⃣ #nsl #tf #tensorflow #ai