December 2018
Intermediate to advanced
158 pages
3h 58m
English
Content preview from Deep Learning with PyTorch Quick Start Guide
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Computational graphs
To get a better understanding of this, let's look at what precisely a computational graph is. We can draw the graph for the function we have been using so far as follows:
Here, the leaves of the graph represent the inputs and parameters of each layer, and the output represents the loss.
Typically, unless retain_graph is set to True, on each iteration of an epoch, PyTorch will create a new computational graph.
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