Extra layers to deep learning toolbox
In this repo, we provider several extra self-defined layers to the deep learning toolbox and some examples about how to use them.
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Extra layers to deep learning toolbox, including:
1. sigmoid activation layer
2. softmax activation layer for regression output
3. input layer supporting multiple inputs
Several examples to illustrate how to use deep learning toolbox and the extra layers as well.
Cite As
Yuze Zou (2026). Extra layers to deep learning toolbox (https://github.com/zouyu4524/DL-matlab), GitHub. Retrieved .
General Information
- Version 1.0.1 (15.7 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with R2019a
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.1 | Add preface image. src: https://towardsdatascience.com/why-deep-learning-is-needed-over-traditional-machine-learning-1b6a99177063 |
||
| 1.0.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
