As I mentioned earlier, a TensorFlow model loads the data, creates the data flow graph, establishes a session, and runs the training within the session. The session invokes a just-in-time compiler ...

If a data set has a complex underlying structure, then modeling it as a graph may reveal only a limited projection ... energy and even money flow through a system. Perhaps the best-known example of a ...

In contrast, TensorFlow by default creates a single data flow graph, optimizes the graph code for performance, and then trains the model. While eager execution mode is a fairly new option in ...