use deep learning for data sets

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wahed fazeli 2020-5-29

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/537931-use-deep-learning-for-data-sets

在 MATLAB Online 中打开

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

https://www.mathworks.com/matlabcentral/answers/508706-use-trainnetwork-for-normal-regression

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.