File:ConvolutionAndPooling.svg
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Summary
| Description |
English: Figure 6 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: Convolutional layers only face a limited preceptive field and all neurons share the same weights (cf. left side of the figure; adopted from [40]). Pooling layers reduce the total input size. Both are typically combined in an alternating manner to construct convolutional neural networks (CNNs). An example is shown on the right. |
| 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 | 07:20, 16 October 2019 | | 839 × 208 (160 KB) | AKMaier | User created page with UploadWizard |
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