Neural Structured Learning: A new way for AI to learn.

Neural Structured Learning (NSL) is a new open source tool to train neural networks by using Neural Graph Learning, utilizing structured data along with featured inputs. Structure can be explicit as represented by a graph or implicit as induced by adversarial perturbation.

NSL works with Tensorflow ML platform and can be easily used by both experienced and inexperience ML professional. NSL can train supervised, semi-supervised, or unsupervised learning for further model applications.

Blog: https://www.tensorflow.org/neural_structured_learning

🔥 Promoted Read: Document Processing and Innovations in Intelligent Character Recognition (ICR) Over the Past Decade

: https://venturebeat.com/2019/09/03/google-launches-tensorflow-machine-learning-framework-for-graphical-data/

Tutorial: https://www.tensorflow.org/neural_structured_learning/tutorials/framework

Image source: https://www.tensorflow.org/neural_structured_learning

Read Full Article: https://www.tensorflow.org/neural_structured_learning

Asif Razzaq is the CEO of Marktechpost, LLC. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over a million monthly views, illustrating its popularity among audiences.