The term "flow" refers to this movement of data through the various stages of model training or inference. Graphs: One of the reasons for TensorFlow’s popularity is its graph-based architecture.

Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.