Uncovering the Potential of TensorFlow 2.0

TensorFlow has emerged as one of the most popular deep learning frameworks in use today. It has by far more users and contributors than any other project, and appears to be continuing on its upward trajectory with the release of the TensorFlow 2.0 API. There are many new features of the TensorFlow 2.0 API to look through, and we will discuss many of them, including eager execution, notebook accessible tensorboards, and tighter integration with Keras. In addition, we will show how edge calculations can be accelerated with tensorflow.js which runs completely in the browser and provides much faster model serving. TensorFlow Lite is a framework for running on smaller remote devices. We will also discuss the parallel execution framework, as TensorFlow is well on the way to becoming the standard for all things deep learning.