how do i define a convolution layer for time series data matlab
显示 更早的评论
how do i define a convolution layer for time series data matlab using deep learning designer app?When i use sequence input layer before convolution layer , it shows input size mismatch error
采纳的回答
Davide Fantin
2021-5-24
1 个投票
As of MATLAB R2021a, defining a convolution layer for time series data is not directly supported in Deep Network Designer.
Currently, the 1-D convolution operation is available through the custom training loop workflow with a "model as function" approach and you can find an example available in the doc here: https://www.mathworks.com/help/deeplearning/ug/sequence-to-sequence-classification-using-1-d-convolutions.html
The Development team is aware of this limitation and will consider to address it in future releases.
Solutions that you can try:
- Recurrent Neural Network (lstmLayer, gruLayer, ...), available in Deep Network Designer App
- Adaptation of Feed-Forward Networks, i.e. folding/unfolding of sequences and a fullyConnectedLayer in between, available in Deep Network Designer App.
- Convolutional Neural Network approach as described in the aforementioned example, using a custom training loop (hence not using Deep Network Designer)
Hope this helps!
更多回答（1 个）
Girijashankar Sahoo
2021-5-24
0 个投票
Choose length of input is same as length of comvolution layer
1 个评论
NN
2021-5-24
Thanks for the suggestion , but please let me know how i can do it .?i am attaching the layer details,which parameter should i change in accordance with number of features as in sequence input data?
类别
在 帮助中心 和 File Exchange 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!
Translated by 
