#003 TF 2.0 Eager Execution- A Pythonic way of using TensorFlow Master Data Science 24.12.2018

TensorFlow uses Eager execution, which is a more convenient way to execute the code, and also more "Pythonic". It is a default choice in the latest version TensorFlow 2.0. In TensorFlow 1.x, we first need to write a Python program that constructs a graph for our computation, the program then invokes Session.run(), which hands the graph off for execution to the C runtime. This type of programming is called declarative programming (specification of the computation is separated from the execution of it). So, Sessions provide one way to execute these compositions.