How TensorFlow is helping in maintaining Road Safety

TensorFlow is a Python-friendly open source library that can be used for complex computation, making Machine Learning more efficient. With a convenient front-end API, it allows developers to execute complex tasks using existing libraries in neural mapping, deep learning, etc. The technology can be used to train and run complex neural networks for a variety of tasks. Since it is an AI library, it can be used to design robust models involving complex dataflow graphs. Each node within the dataflow graph shows a mathematical operation, with each connection being a multidimensional array (tensor). Development teams can create neural networks of large scales, that have multiple layers interacting with one another. It can then help in managing complex structures, like road safety management, through data provided from smart cameras, sensors and radar detectors.