Is there a way to create an LSTM Autoencoder for time-series data?
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Hi all,
is it possible to create an Autoencoder with the Deep Learning layers and LSTM layers and when yes how?
I have found mutliple refs. for python time-series autoencoders, but Matlab does not have the same layers, or am i missing something?
Thanks,
Barry
1 Comment
Lisa Huber
on 4 May 2021
Is there any update here?
Barry, how have you solved the task?
Have you build a "regular" neural network using several LSTM layers?
I wonder if I can manage the task in anomaly detection in MATLAB: I have e.g. a 6-D measurement vector in every timestep. I want to use a LSTM autoencoder and as input the 6-D vector, but not only for one time step, I want to give in a whole time "window" e.g. 10 timesteps, the input matrix would be: 6x10. And I also want to reconstruct this input matrix in the end to calculate a reconstruction error.
Maybe you can share your experiences!
Great Thanks,
Lisa
Answers (1)
David Willingham
on 4 May 2021
Hi Barry,
Here's an example of using LSTM based Autoencoders on our GitHub page: Industrial Machinery Anomaly Detection using an Autoencoder. This Predictive Maintenance example trains a deep learning autoencoder on normal operating data from an industrial machine. The example walks through:
- Extracting relevant features from industrial vibration timeseries data using the Diagnostic Feature Designer app
- Setting up and training an LSTM-based autoencoder to detect abnormal behavior
- Evaluating the results on a validation dataset
Regards,
6 Comments
gcet joshi
on 15 Jun 2021
Hello,
In papers AUC value is reported for Autoencoder, but how it is not mentioned. I have found AUC value for classification problrm i.e. CNN but for autoencoder how it can be found?
In my secnd question, I am trying to train LSTM Autoencoder with video sequences i.e. number of frames, insted of features.
Kinjal Joshi
on 3 Jul 2021
Hello,
Is there any example of convolutional lstm autoencoder? As I have to work on video sequences rather than images.
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