Kaggle: seizure prediction MATLAB solution -- auto encoder approach

版本 1.0.0.0 (4.3 KB) 作者: Jianghao Wang
Starter code for completing the Kaggle seizure prediction competition with MATLAB
204.0 次下载
更新时间 2016/9/22

查看许可证

This is a MATLAB solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction (https://www.kaggle.com/c/melbourne-university-seizure-prediction).
It is built upon using autoencoders and neural nets from the Neural Network Toolbox.

The zip file contains:
1. autoencoder_train.m,
a script that constructs a deep network using autoencoders as explained in the example here: http://www.mathworks.com/help/nnet/ug/construct-deep-network-using-autoencoders.html. After constructing the deep or stacked network, the deep network is adapted with more training data.

2. autoencoder_test.m,
a script that loads the neural net constructed from the training data, and make predictions of validation and test data.

引用格式

Jianghao Wang (2024). Kaggle: seizure prediction MATLAB solution -- auto encoder approach (https://www.mathworks.com/matlabcentral/fileexchange/59122-kaggle-seizure-prediction-matlab-solution-auto-encoder-approach), MATLAB Central File Exchange. 检索来源 .

MATLAB 版本兼容性
创建方式 R2016a
兼容任何版本
平台兼容性
Windows macOS Linux
类别
Help CenterMATLAB Answers 中查找有关 Get Started with Deep Learning Toolbox 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
版本 已发布 发行说明
1.0.0.0