The evolution of TensorFlow has led to a more organized and modular approach, allowing users to select only the components they need. By streamlining mathematical operations and statistics into distinct packages like TF Probability and estimators, the platform enhances usability and deployment efficiency. This shift addresses previous challenges of duplication and lack of support, making TensorFlow more intuitive for developers.
