use deep learning for data sets
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
Hi
I have a dataset of 9 inputs and 1 output for training data. Total sample 488
B: 9x488
F: 1x488
I want to train my data using deep learning but when i want to do that .matlab r2018b give me nothing.
I search in Internet and used the codes of this page but it still dont work for me
these are code of matlab.
Firstly i have used this code but it gave me some errors.
layers = [
sequenceInputLayer(size(B,1),"Name","sequence_In","Normalization","rescale-zero-one")
fullyConnectedLayer(20,"Name","fc_1")
fullyConnectedLayer(20,"Name","fc_2")
fullyConnectedLayer(1,"Name","fc_3")
regressionLayer("Name","regressionoutput")];
Error using sequenceInputLayer>iParseInputArguments (line 41)
'Normalization' is not a recognized parameter. For a list of valid name-value pair arguments, see the documentation
for this function.
Error in sequenceInputLayer (line 26)
inputArguments = iParseInputArguments(varargin{:});
so i have changed the code and write this code.so it worked at first.
layers = [
sequenceInputLayer(size(b,1),"Name","sequence_In")
fullyConnectedLayer(20,"Name","fc_1")
fullyConnectedLayer(20,"Name","fc_2")
fullyConnectedLayer(1,"Name","fc_3")
regressionLayer("Name","regressionoutput")];
and write this code for options.
option=trainingOptions('sgdm','MaxEpochs',20,'InitialLearnRate',0.001,'Verbose',false,'Plots','training-progress');
net=trainNetwork(B,F,layers,option);
when i run this code the matlab give me nothing in result.the version of matlab i have used is R2018b
validation RMSE: N/A and other parameters this is the snap shot of results.I dont know what is problem.can anyone help me fix this error .thanks.
0 Kommentare
Antworten (0)
Siehe auch
Kategorien
Mehr zu Statistics and Machine Learning Toolbox finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!