Preparing input data for classification using LSTM
I am interested in classifying graphs (senquence) data to category labels. I saw that I could use LSTM however, I would like know how the primary sequence data is store for inputing into the LSTM, I also want to know how to attach know labels to each graph for purpose of training.
https://www.mathworks.com/help/deeplearning/ug/classify-sequence-data-using-lstm-networks.html
In this there is a variable / struture called waveform, how was it constructed?
Please assistI am interested in classifying graphs (senquence) data to category labels. I saw that I could use LSTM however, I would like know how the primary sequence data is store for inputing into the LSTM, I also want to know how to attach know labels to each graph for purpose of training.
https://www.mathworks.com/help/deeplearning/ug/classify-sequence-data-using-lstm-networks.html
In this there is a variable / struture called waveform, how was it constructed?
Please assist I am interested in classifying graphs (senquence) data to category labels. I saw that I could use LSTM however, I would like know how the primary sequence data is store for inputing into the LSTM, I also want to know how to attach know labels to each graph for purpose of training.
https://www.mathworks.com/help/deeplearning/ug/classify-sequence-data-using-lstm-networks.html
In this there is a variable / struture called waveform, how was it constructed?
Please assist lstm MATLAB Answers — New Questions