classificationLayer cannot output one-hot encoded matrix?
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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?
2 个评论
Maria Duarte Rosa
2019-7-11
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
2019-7-30
Hi can someone tell me how to do one hot encoding in MATLAB to feed to a network?
回答（1 个）
Himanshu tripathi
2019-7-10
0 个投票
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.
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2019-7-30
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