Coordinating compatible versions of Python, auxiliary packages, TensorFlow and Keras is a significant challenge. Almost all the installation failures I've seen have been due to version ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...