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how do i define a convolution layer for time series data matlab

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NN
NN 2021 年 5 月 24 日
コメント済み: NN 2021 年 5 月 24 日
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

採用された回答

Davide Fantin
Davide Fantin 2021 年 5 月 24 日
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!
  1 件のコメント
NN
NN 2021 年 5 月 24 日
Thank you very much .i will look into this example

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その他の回答 (1 件)

Girijashankar Sahoo
Girijashankar Sahoo 2021 年 5 月 24 日
Choose length of input is same as length of comvolution layer
  1 件のコメント
NN
NN 2021 年 5 月 24 日
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?

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