Invalid validation data. For a recurrent layer with output mode 'last', responses must be a categorical column vector.
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NAVNEET NAYAN
el 19 de Ag. de 2021
Comentada: NAVNEET NAYAN
el 19 de Ag. de 2021
I am trying to train LSTM network following the example given in mathworks entitled "Classify Videos Using Deep Learning". But I am getting an error. I am attaching here the screenshot of the error.![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/715864/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/715864/image.png)
In this screenshot the error is responses must be a categorical column vector. In my case, as you can see in the code (line no. 154) responses are named as labelsTrain. In the workspace you can see labelsTrain is categorical. I am not getting the reason behind this error and hence unable to find a way out of it. Please suggest some solution for this.
If my query is not clear, feel free to comment.
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Respuesta aceptada
Walter Roberson
el 19 de Ag. de 2021
Your Validation Data responses that you are passing through your options is a categorical row vector, but needs to be a categorical column vector.
3 comentarios
Walter Roberson
el 19 de Ag. de 2021
You transpose the training label data in line 154. That is not the validation data. The validation data is line 149.
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