What type of classification problems can LSTM be used in ?

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

Answer 1

[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?