File:ActivationFunctions.svg
| Uploaded by | AKMaier |
|---|---|
| Upload date | 2019-10-15T06:57:37Z |
| MIME type | image/svg+xml |
| Dimensions | 1058 × 606 px |
| File size | 292.6 KB |
Summary
| Description |
English: Figure 5 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: Overview of classical (sign(x), σ(x), and tanh(x)) and modern activation functions, like the Rectified Linear Unit ReLU(x) and the leaky ReLU LReLU(x). |
| Date | |
| Source | https://www.sciencedirect.com/science/article/pii/S093938891830120X#fig0010 |
| Author | Andreas Maier |
| SVG development |  This diagram was created with Inkscape. |
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