File:Back Propagation Example.svg
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Captions
Captions
Graphical overview of back-propagation using layer derivatives.
Summary[edit]
| 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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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 12:57, 9 October 2019 | | 770 × 360 (269 KB) | AKMaier (talk | contribs) | User created page with UploadWizard |
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