How to use Convolutional Neural Networks on 1 dimensional data ?

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.

Answer 1

[Archita P]

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.

[Pengfei Zhao]

But what about 1d data ?

[krishna Chauhan]

Question was asked about 1D CNN on sequence data mam. Did any body gt the answer?