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

: 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 an AI Journalist and Cofounder of Marktechpost, LLC. He is a visionary, entrepreneur and engineer who aspires to use the power of Artificial Intelligence for good.

Asif's latest venture is the development of an Artificial Intelligence Media Platform (Marktechpost) that will revolutionize how people can find relevant news related to Artificial Intelligence, Data Science and Machine Learning.

Asif was featured by Onalytica in it’s ‘Who’s Who in AI? (Influential Voices & Brands)’ as one of the 'Influential Journalists in AI' (https://onalytica.com/wp-content/uploads/2021/09/Whos-Who-In-AI.pdf). His interview was also featured by Onalytica (https://onalytica.com/blog/posts/interview-with-asif-razzaq/).