January 2018
Intermediate to advanced
474 pages
10h 23m
English
Content preview from Mastering TensorFlow 1.x
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Data flow graph or computation graph
A data flow graph or computation graph is the basic unit of computation in TensorFlow. We will refer to them as the computation graph from now on. A computation graph is made up of nodes and edges. Each node represents an operation (tf.Operation) and each edge represents a tensor (tf.Tensor) that gets transferred between the nodes.
A program in TensorFlow is basically a computation graph. You create the graph with nodes representing variables, constants, placeholders, and operations and feed it to TensorFlow. TensorFlow finds the first nodes that it can fire or execute. The firing of these nodes results in the firing of other nodes, and so on.
Thus, TensorFlow programs are made up of two kinds of operations ...
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