How to build a basic Data Graph in Tensor Flow

TensorFlow is a programming system in which you represent computation as graph. Node in the graph is called op (short for operations). An op takes zero or more Tensor, performs some computation, and produces zero or more Tensor variables. A Tensor is a typed multi-dimensional array. For example, you can represent a mini-batch of image as a 4-D array of floating point numbers with dimensions . A TensorFlow graphs is a description of computation. To compute anything, a graph must be launched in a Sessions. A Session places the graph ops onto Device, such as CPUs or GPUs,

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How to build a basic Data Graph in Tensor Flow
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