Extra layers to deep learning toolbox

版本 1.0.1 (15.7 KB) 作者: 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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更新时间 2019/6/28
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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.

引用格式

Yuze Zou (2024). Extra layers to deep learning toolbox (https://github.com/zouyu4524/DL-matlab), GitHub. 检索来源 .

MATLAB 版本兼容性
创建方式 R2019a
兼容 R2019a
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examples

layers

utils

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版本 已发布 发行说明
1.0.1

Add preface image. src: https://towardsdatascience.com/why-deep-learning-is-needed-over-traditional-machine-learning-1b6a99177063
1.0.0

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要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。