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.

https://github.com/zouyu4524/DL-matlab

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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. 检索时间: 2024/11/25.

MATLAB 版本兼容性

创建方式 R2019a

兼容 R2019a

平台兼容性

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类别

AI and Statistics > Deep Learning Toolbox > Deep Learning Fundamentals >

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examples

layers

utils

无法下载基于 GitHub 默认分支的版本

版本	已发布	发行说明
1.0.1	2019/6/28	Add preface image. src: https://towardsdatascience.com/why-deep-learning-is-needed-over-traditional-machine-learning-1b6a99177063
1.0.0	2019/6/28

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