Chapter 2. Eager Execution
This chapter covers eager execution mode in TensorFlow 2.x. Eager execution is considered to be one of the most drastic changes in TensorFlow 2.x—drawing a lot of attention from the PyTorch community as well. Eager execution was introduced in TensorFlow 1.x but was not enabled by default for performance and compatibility reasons. It’s now at a level where it is enabled by default. Let’s understand why this was such a game changer.
Python: The De Facto Standard in Data Science
Why Eager Execution Is So Important
Eager execution is undoubtedly one of the most prominent new features—introduced in TensorFlow 1.7—activated by default in TensorFlow 2.x. Eager execution allows the ...