lstm in matlab

Here is the code for training an LSTM network in MATLAB:

main.m
% Load your data
load myData.mat;

% Define the LSTM network
numFeatures = size(inputs, 2);
numResponses = 1;
numHiddenUnits = 200;
layers = [ ...
    sequenceInputLayer(numFeatures)
    lstmLayer(numHiddenUnits,'OutputMode','last')
    fullyConnectedLayer(numResponses)
    regressionLayer];

% Define the training options
options = trainingOptions('adam', ...
    'MaxEpochs',100, ...
    'GradientThreshold',1, ...
    'InitialLearnRate',0.01, ...
    'LearnRateSchedule','piecewise', ...
    'LearnRateDropFactor',0.1, ...
    'LearnRateDropPeriod',10, ...
    'Verbose',1, ...
    'Plots','training-progress');

% Train the LSTM network
net = trainNetwork(inputs,outputs,layers,options);

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This code assumes that your data is stored in a file called myData.mat with your inputs in a variable called inputs and your outputs in a variable called outputs. You will need to modify the network architecture, training options, and input/output format based on your specific use case.

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related categories

matlab
deep-learning
lstm

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