What type of classification problems can LSTM be used in ?

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I have a dataset with voltage data. Each datapoint is labelled with either Normal Operation or Purging. Can LSTM be used for this type of data. And if yes, how do i prepare the network and the dataset for training and testing.
Thanks in advance

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Vassilis Papanastasiou
Hi Bhasvick,
LSTM networks can be used for classification and regression tasks using sequence and time series data.
You can have a look in the documentation for more infomation: https://www.mathworks.com/help/deeplearning/ug/long-short-term-memory-networks.html
A sequence classification example using an LSTM network can be found here: https://www.mathworks.com/help/deeplearning/ug/classify-sequence-data-using-lstm-networks.html
Are your data time series or sequences? If yes, the workflows above can be very helpful.
Can you please provide more information about the data you want to leverage?

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