Undefined function or variable error using Neural Network Toolbox
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I am following the provided example for Long-Short-Term-Memory networks found in the Neural Network Toolbox (https://de.mathworks.com/help/nnet/examples/classify-sequence-data-using-lstm-networks.html) and whenever I use the code given in the example for training the network
net = trainNetwork(X,Y,layers,options);
I get the following error:
>> net = trainNetwork(X,Y,layers,options);
Training on single GPU.
|=========================================================================================|
| Epoch | Iteration | Time Elapsed | Mini-batch | Mini-batch | Base Learning|
| | | (seconds) | Loss | Accuracy | Rate |
|=========================================================================================|
Error using trainNetwork (line 140)
Undefined function or variable 'endfunction'.
Caused by:
Undefined function or variable 'endfunction'.
I tried re-installing the toolbox and rehasing the toolbox cache but it does not matter. Also, if I try to use
maxEpochs = 150;
miniBatchSize = 27;
shuffle = 'never';
cpu = 'cpu';
options = trainingOptions('sgdm', ...
'MaxEpochs',maxEpochs, ...
'MiniBatchSize',miniBatchSize, ...
'Shuffle', shuffle), 'ExecutionEnvironment' , cpu);
I get this error message:
>> net = trainNetwork(X,Y,layers,options);
Error using trainNetwork (line 140)
Undefined function or variable 'endfunction'.
Caused by:
Undefined function or variable 'endfunction'.
It looks like while using the CPU for computation the function does not even start.
Thanks in advance.
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채택된 답변
Walter Roberson
2017년 10월 27일
endfunction is for Octave code not MATLAB
댓글 수: 4
Akib Rahman
2018년 6월 22일
편집: Akib Rahman
2018년 6월 22일
@Walter I am facing same type problem! I also use your suggestion ( dbstop if caught error ) but it is same. What should I do? In my PC neural network toolbox already installed.
When I run my code it gives me this error
Undefined function or variable 'batchNormalizationLayer'.
Error in leafRNN (line 30)
batchNormalizationLayer
추가 답변 (1개)
Shounak Mitra
2017년 10월 31일
편집: Walter Roberson
2017년 10월 31일
options = trainingOptions('sgdm', ...
'MaxEpochs',maxEpochs, ...
'MiniBatchSize',miniBatchSize, ...
'Shuffle', shuffle), 'ExecutionEnvironment' , cpu);
You might want to remove the bracket after shuffle? ;-)
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