Invalid training data in LSTM
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I have given the following dimensions data for sequence to label classification using LSTM.....
xtrain = 56724 x 1 cell (each cell is having 1 x 2560 double)
ytrain = 56724 x 1 categorical
I am getting the following error:
Invalid training data. Predictors must be a N-by-1 cell array of sequences, where N is the number of
sequences. All sequences must have the same feature dimension and at least one time step.
Can anyone solve my issue.
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Harsha Priya Daggubati
2020-1-27
0 个投票
Hi,
The proper input format to train a LSTM Network should be as follows,
XTrain = N x 1 cell
YTrain = N x 1 , where N denotes the Number of Sequences/Training Examples.
Each cell in Training set can have variable number of columns, but a definite set of rows. It implies each cell is of the form K x L, where K is the number of input features and L is the input data for that feature.
Here in your case, I doubt there is an issue with your XTrain cell. Try modifying your XTrain to match the input format specified above.
Hope this helps!
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