In order to be a highly efficient, flexible, and production-ready library, TensorFlow uses dataflow graphs to represent computation in terms of the relationships between individual operations. Dataflow is a programming model widely used in parallel computing and, in a dataflow graph, the nodes represent units of computation while the edges represent the data consumed or produced by a computation unit.
Source : http://www.datasciencecentral.com/xn/detail/6448529:BlogPost:895609
Date : October 10, 2019 at 08:59PM
Tag(s) : #DATA ENG
