Time Series and input layer Error
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
Kyle Fredin
el 1 de Ag. de 2019
Comentada: Kyle Fredin
el 5 de Ag. de 2019
XTrain = dataTrainStandardized(1:end-1);
YTrain = dataTrainStandardized(2:end);
numFeatures = 1;
numResponses = 1;
numHiddenUnits = 200;
layers = [ ...
sequenceInputLayer(numFeatures)
lstmLayer(numHiddenUnits)
fullyConnectedLayer(numResponses)
regressionLayer];
options = trainingOptions('adam', ...
'MaxEpochs',250, ...
'GradientThreshold',1, ...
'InitialLearnRate',0.005, ...
'LearnRateSchedule','piecewise', ...
'LearnRateDropPeriod',125, ...
'LearnRateDropFactor',0.2, ...
'Verbose',0, ...
'Plots','training-progress');
net = trainNetwork(XTrain,YTrain,layers,options);
net = trainNetwork(XTrain,YTrain,layers,options); >>>> ***Error using trainNetwork (The training sequence are of feature dimention 5353 but the input layer expects sequences of feature dimention 1).
I'm trying to work a collegues code from a previous MLab version. Since I'm using R2019a, is there an issue with the DAGNetwork because it's crashing at "iThrowCNNException( e );
0 comentarios
Respuesta aceptada
Divya Gaddipati
el 5 de Ag. de 2019
From the error you received, I can see that your input data is of size 5353.
But, from line 3 of your code, you are defining the input size (numFeatures) of your sequenceInputLayer as 1, whereas it should be defined as 5353.
Más respuestas (0)
Ver también
Categorías
Más información sobre Deep Learning Toolbox en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!