TensorFlow started as an open-source deep learning library and has today evolved into an end to end machine learning platform that includes tools, libraries and resources for the research community to push the state of the art in deep learning and developers in the industry to build ML & DL powered applications.
Best of all, it remains approachable to beginners while fulfilling the needs of cutting edge researchers.
Here’s a great tutorial on how to get started.
In this article, I will focus on the marvel that is TensorFlow 2.0. We will understand how it differs from TensorFlow 1.x, how Keras fits into the picture and how to set up your machine to install and use TensorFlow 2.x. And then comes the icing on the cake – we will implement TensorFlow 2.0 for image classification and text classification tasks!