Basic Introduction of TensorFlow
TensorFlow is made up of two terms – Tensor and Flow: In TensorFlow, the term tensor refers to the representation of data as multi-dimensional array whereas the term flow refers to the series of operations that one performs on tensors. S eries of TensorFlow operations are arranged as nodes in the computational graph. To initialize all the variables in a TensorFlow program, you must explicitly call a special operation as shown below:
Variables must be initialized before a graph is used for the first time.