Getting Started with TensorFlow: A Machine Learning Tutorial

Over time, TensorFlow has grown in popularity and is now being used by developers for solving problems using deep learning methods for image recognition, video detection, text processing like sentiment analysis, etc. Like any other library, you may need some time to get used to the concepts that TensorFlow is built on. And, once you do, with the help of documentation and community support, representing problems as data graphs and solving them with TensorFlow can make machine learning at scale a less tedious process. In TensorFlow, constants are created using the constant function which takes a few parameters: Value, dtype (data type), shape, name and (verify_shape) shape verification.