classificationLayer cannot output one-hot encoded matrix?

openExample('nnet/ConstructAndTrainAConvolutionalNeuralNetworkExample')

In this demo, the output of the net was a categorical vector.

But in most of the cnn tutorials, the output should be one-hot encoded. Why does matlab use a categorical vector instead?

How to feed a one-hot encoded matrix to the net? The function trainNetwork() does not accept this kind of Y data.

Is the classificationLayer itself implemented one-hot encoding?

[Maria Duarte Rosa]

Hi Xiaolong, Thanks for your question. Is there a particular reason (apart from seeing in other cnn tutorials) why you think one-hot encoded outputs are better over categorical vectors? Do you have a particular use case? I'm just trying to understand your feedback/question.

[Sanjana Sankar]

Hi can someone tell me how to do one hot encoding in MATLAB to feed to a network?

Answer 1

[Himanshu tripathi]

Hey Xiaolong,

Why do you want to feed one hot encoded Y to the net?

The function trainNetwork() does not accept one hot encoded matrix and it's expected behaviour as per documentation.