Input Data format in deep learning

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DL 2020-7-2

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/558701-input-data-format-in-deep-learning

回答： Divya Gaddipati 2020-7-22

采纳的回答： Divya Gaddipati

Hi,

I just want to set a feature vector (size is 256 * 1) as the input of DNN, which kind of layer should I use?

I saw there are only 4, imginput, img3dimput, sequenceinput, roilinput.

And If the output (label) is also a vector (size 252 * 1 and classification), what kind of data fromat should the label be? I saw from the instruction it's cell but there's always an error saying Invalid training data. The response must be a vector of categorical responses, or a cell array of categorical response sequences. Can you help me a little bit?

Thanks

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DL 2020-7-2

Sequence-to-sequence classification

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Answer 1

Divya Gaddipati 2020-7-22

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/558701-input-data-format-in-deep-learning#answer_469476

Hi,

If you're doing a sequence-to-sequence classification, for the input layer, you have to use the sequenceInputLayer and for the output, you can use a classificationLayer.

You can refer to the following example on Sequence-to-sequence classification for more information:

https://www.mathworks.com/help/deeplearning/ug/sequence-to-sequence-classification-using-deep-learning.html