While eager execution mode is a fairly new option in TensorFlow, it’s the only way PyTorch runs: API calls execute when invoked, rather than being added to a graph to be run later.

Put another way, you write Keras code using Python. The Keras code calls into the TensorFlow library, which does all the work. In Keras terminology, TensorFlow is the called backend engine.

PyTorch is still growing, while TensorFlow’s growth has stalled. Graph from StackOverflow trends . StackOverflow traffic for TensorFlow might not be declining at a rapid speed, but it’s ...

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 ...

Google announced TensorFlow 2.0 is now available for ... such as the elimination of some APIs thought to be redundant and a tight integration and reliance on tf.keras as its central high-level API.