Basic Introduction of TensorFlow

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.


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