python - How to predict float vector labels with caffe? -

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i wondering if it's possible predict 1-by-n feature associated input image using caffe. in this post there solution make caffe predict binary vector such [1 0 1 0].

is solution suitable if have 1-by-n float vector label (such [0.2, 0.1, 0.3, 0.4] ? want predict such vector, not binary vector label.

you can think multitaskdata layer. can parse float typed label vector mentioned in question.


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