Chapter 1: Getting Started with TensorFlow 2.x for Computer Vision
One of the greatest features of TensorFlow 2.x is that it finally incorporates Keras as its high-level API. Why is this so important? While it's true that Keras and TensorFlow have had very good compatibility for a while, they have remained separate libraries with different development cycles, which causes frequent compatibility issues. Now that the relationship between these two immensely popular tools is official, they'll grow in the same direction, following a single roadmap and making the interoperability between them completely seamless. In the end, Keras is TensorFlow and TensorFlow is Keras.
Perhaps the biggest advantage of this merger is that by using Keras' high-level ...
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