Building an AI Model using Machine Learning and Deep Learning with MATLAB

Version 1.0.1 (50.9 MB) by Lei Yu
本文件通过多个实操案例详细介绍了利用MATLAB机器学习与深度学习工具箱建立AI模型的具体步骤与源代码。
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Updated 11 Apr 2024
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本文件由山西大学复杂系统研究所郁磊副教授开发完成。未取得授权的情况下，请勿私自传播，传播形式包括但不限于：拷贝、传输、打印等。授权相关事宜请通过电子邮件沟通联系（Email: yulei@sxu.edu.cn）。 本文件在开发过程中得到了迈斯沃克软件（北京）有限公司与教育部产学合作协同育人项目的支持。 每个章节中，需要先将数据文件解压缩，然后放到与*.mlx格式文件同一路径下。 Class_08、Class_10、Class_11、Class_13中的数据文件太大，无法上传，如有需要，请通过电子邮件沟通联系（Email: yulei@sxu.edu.cn）。

Cite As

Lei Yu (2025). Building an AI Model using Machine Learning and Deep Learning with MATLAB (https://github.com/yuthreestone/Machine-Learning-and-Deep-Learning-with-MATLAB/releases/tag/v1.0.1), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Class_01_MATLAB Basics

Class_01_MATLAB Basics

Class_02_Data Cleaning

Class_03_BP Neural Network

Class_04_Extreme Learning Machine

Class_05_Support Vector Machine

Class_06_Decision Tree and Random Forest

Class_07_Dimension Reduction and Feature Selection

Class_08_Convolutional Neural Network

Class_09_Long-Short Term Memory Neural Network

Class_10_Transfer Learning

Class_11_Generative Adversarial Network

Class_12_YOLO Object Detection

Class_13_U-Net Image Segmentation

Class_14_AutoEncoder

Version Published Release Notes
1.0.1

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.