February 2020
Intermediate to advanced
328 pages
8h 19m
English
Content preview from Deep Learning with R Cookbook
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How it works...
TensorFlow programs generate a computation graph in which the nodes of the graph are called ops. These ops take tensors as input and perform computations and produce tensors (tensors are n-dimensional arrays or lists). TensorFlow programs are structured in two phases: the construction phase and the execution phase. In the construction phase, we assemble the graph, while in the execution phase, we execute the graphs in the context of the session. Calling the tensorflow package in R creates an entry point (the tf object) to the TensorFlow API, through which we can access the main TensorFlow module. The tf$Variable() function creates a variable that holds and updates trainable parameters. TensorFlow variables are in-memory buffers ...
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