File:Back Propagation Example.svg

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Summary

Description
English: Figure 4 from Andreas Maier, Christopher Syben. Tobias Lasser. Christian Riess. "A gentle introduction to deep learning in medical image processing". Zeitschrift für Medizinische Physik

Volume 29, Issue 2, May 2019, Pages 86-101. https://www.sciencedirect.com/science/article/pii/S093938891830120X#fig0010

Please reference this article, if you reuse this figure.

Original Caption: Graphical overview of back-propagation using layer derivatives. During the forward pass, the network is evaluated once and compared to the desired output using the loss function. The back-propagation algorithm follows different paths through the layer graph in order to compute the matrix derivatives efficiently.
Date
Source https://www.sciencedirect.com/science/article/pii/S093938891830120X#fig0010
Author Andreas Maier

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Captions

Graphical overview of back-propagation using layer derivatives.

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1 March 2019

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Category:Artificial neural networks Category:CC-BY-4.0 Category:Pattern recognition