April 2019
Intermediate to advanced
250 pages
6h 34m
English
Content preview from PyTorch Deep Learning Hands-On
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Using computational graphs
Through evolution, humans have found that graphing the neural network gives us the power of reducing complexity to the bare minimum. A computational graph describes the data flow in the network through operations.
A graph, which is made by a group of nodes and edges connecting them, is a decades-old data structure that is still heavily used in several different implementations and is a data structure that will be valid probably until humans cease to exist. In computational graphs, nodes represent the tensors and edges represent the relationship between them.
Computational graphs help us to solve the mathematics and make the big networks intuitive. Neural networks, no matter how complex or big they are, are a group ...
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