Introduction of TensorFlow with Python – Hacker Noon

This is accomplished by creating a computational graph, which takes multidimensional matrices called "Tensors" and does computations on them. When creating the graph, you have the possibility to explicitly specify where the computations should be done, on the GPU or CPU. By default it will check if a GPU is available, and use that. The Graph is run in a Session, where you specify what operations to execute in the run-function. Data from outside may also be supplied to placeholders in the graph, so you can run it multiple times with different input.