How to use Convolutional Neural Networks on 1 dimensional data ?
7 ビュー (過去 30 日間)
古いコメントを表示
Apparently ConvNets in Matlab are only applicable for 2-d images. How can I apply it for 1-d Signals like accelerometer Data or maybe even extend it to mmultiple dimensions.
0 件のコメント
回答 (1 件)
Archita P
2017 年 3 月 20 日
Refer to the following links to get the required information-
https://www.mathworks.com/help/nnet/ug/introduction-to-convolutional-neural-networks.html
https://www.mathworks.com/help/nnet/ug/layers-of-a-convolutional-neural-network.html
It gives an example of transforming 3D input to 3D output. A smaller network with only one or two convolutional layers might be sufficient to learn a small number of gray scale image data. On the other hand, for more complex data with millions of colored images, you might need a more complicated network with multiple convolutional and fully connected layers.
2 件のコメント
krishna Chauhan
2020 年 7 月 3 日
Question was asked about 1D CNN on sequence data mam. Did any body gt the answer?
参考
カテゴリ
Help Center および File Exchange で Image Data Workflows についてさらに検索
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!