Extra layers to deep learning toolbox

Version 1.0.1 (15.7 KB) by Yuze Zou
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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Updated 28 Jun 2019
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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 .

MATLAB Release Compatibility
Created with R2019a
Compatible with R2019a
Platform Compatibility
Windows macOS Linux
Categories
Find more on Deep Learning Toolbox in Help Center and MATLAB Answers
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Version Published Release Notes
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.