File:ConvolutionAndPooling.svg

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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Category:CC-BY-4.0#ConvolutionAndPooling.svg Category:Machine learning Category:Pattern recognition Category:Deep learning
Category:CC-BY-4.0 Category:Deep learning Category:Machine learning Category:Pattern recognition