LSTM Input Size Problem

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Agusti Padros
Agusti Padros 2021-4-23
编辑： Agusti Padros 2021-4-24
Hello,
I am attempting to train a LSTM network, but I'm struggling to resize the input data to the requirements of the LSTM.
· LSTM Requirements: Nx1 - where N is the number of observations
· My current data: XTrain, a 4D array (BxHxCxR) where: (Number of bands)-by-(Number of hops)-by-(Number of channels)-by-(Number of Responses)
I want to create a column vector (Nx1), where each element of the vector has a 3D array (BxHxC) inside.
My current code for resizing the data is the following:
numResponses = size(xTrain,4); % Number of training samples
for i = 1:numResponses
xTrainReshaped(:,i) = xTrain(:,:,:,i); % EACH AUDIO has size of 128x42x2channels
end
yTrain = categorical(yTrain); % CATEGORICAL, N x 1 size
ERROR: Unable to perform assignment because the size of the left side is 1-by-1 and the size of the right side is
128-by-42-by-2.
What am I missing here? Some help would be certainly appreciated.
Thanks lads

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采纳的回答

Agusti Padros
Agusti Padros 2021-4-24
Hello,
I was able to solve the issue. For anyone wondering, here's the code I created:
%% RESHAPE INPUT DATA
% TRAIN DATA - MUST BE CHANGED TO: Nx1 - Where n is nTrainSamples
for i = 1:nTrainSamples
sampleTrain=xTrain(:,:,:,i);
xTrainReshaped{i} = sampleTrain;
end
xTrainReshaped = reshape(xTrainReshaped,[nTrainSamples 1]); % Create a column vector
yTrain = categorical(yTrain);
% CONVERT TEST DATA INTO Nx1
nTestSamples = size(xTest,4);
for i = 1:nTestSamples
sampleTest=xTest(:,:,:,i);
xTestReshaped{i} = sampleTest;
end
xTestReshaped = reshape(xTestReshaped,[nTestSamples 1]); % Create a column vector
yTest = categorical(yTest);

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