TensorFlow's Neural Structured Learning Makes Deep Learning Super Easy

TensorFlow is one of the most popular and primary software tools for creating deep learning models. Mainly used for classification, prediction, perception, etc., there are numerous reasons why one should use this platform. Adding another feather to its diverse usage, Google this week introduced Neural Structured Learning (NSL), an open-source framework to learn neural networks. This framework works with the TensorFlow platform and is suitable for both beginners and advanced developers to use it for training neural networks with structured signals. The NSL can be applied to construct accurate and robust models for vision, language understanding, and prediction in general.