Error using trainNetwork (line 154)
Invalid training data. For a recurrent layer with output mode 'last', responses must be a categorical column vector.
Error in Trails (line 71)
net = trainNetwork(XTrain,YTrain,layers,options);
Caused by:
Error using nnet.internal.cnn.util.NetworkDataValidator/assertOutputModeCorrespondsToDataForClassification (line 382)
Invalid training data. For a recurrent layer with output mode 'last', responses must be a categorical column vector.
I will be thankful to u if ur solution resolves this problem.
In matlab, and for the deep learning toolbox, there is a class of variables called "categorical".
perhaps they are referring to that.
if your training target data is numerical, or even if your problem is a classification problem, then try to convert the data to class categorical.
it would be something like: categorical(x)
read the documentation
In matlab, and for the deep learning toolbox, there is a class of variables called "categorical".
perhaps they are referring to that.
if your training target data is numerical, or even if your problem is a classification problem, then try to convert the data to class categorical.
it would be something like: categorical(x)
read the documentation
In matlab, and for the deep learning toolbox, there is a class of variables called "categorical"
You have to make YTrain as categorical type. What you need to do is
YTrain=categorical(YTrain); before the line
net = trainNetwork(XTrain,YTrain,layers,options);
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