November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Computation graph
A computation graph is the basic unit of computation in TensorFlow. A computation graph consists of nodes and edges. Each node represents an instance of tf.Operation, while each edge represents an instance of tf.Tensor that gets transferred between the nodes.
A model in TensorFlow contains a computation graph. First, you must create the graph with the nodes representing variables, constants, placeholders, and operations, and then provide the graph to the TensorFlow execution engine. The TensorFlow execution engine finds the first set of nodes that it can execute. The execution of these nodes starts the execution of the nodes that follow the sequence of the computation graph.
Thus, TensorFlow-based programs are made up of ...
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