Ultimate Guide to TensorFlow 2.0 in Python

Code that accompanies this article can be downloaded here. Over the years it became one of the most loved ML frameworks and gathered a massive amount of followers. Google has done a great job and incorporated this framework into Java, C, JavaScript and most importantly into major data science language Python. If you ask the community what are their favorite combination of tools, the most usual answer would be TensorFlow and Python. Thanks to this, we came to the point where this technology is mature enough to ease up its use and "cross the chasm". That is certainly one of the main goals of a new version – TensorFlow 2.0. However, let's start from the beginning and find out what is this technology all about.