Chapter6 How Tensor Flow Graphs are Generated: The Back end Process | TensorFlow TUTORIALS WITH CODE

TensorFlow uses a dataflow graph to represent your computation in terms of the dependencies between individual operations. This leads to a low-level programming model in which you first define the dataflow graph, then create a TensorFlow session to run parts of the graph across a set of local and remote devices.

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