Deep learning with vector output

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Samuli Siltanen 2019-8-26

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评论： Samuli Siltanen 2019-8-30

I need to learn a mapping from 28x28 images into a vector of 45 floating-point numbers. This is not really classification as the numbers range between -1 and 1.

When designing a deep neural network, what output layer could I use?

Best,

Samuli Siltanen

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Asvin Kumar 2019-8-29

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You can use the tanhLayer to obtain output values in the range of –1 to 1.

Here’s the documentation for more information: https://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.tanhlayer.html

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Asvin Kumar 2019-8-30

For the output layer, you can use a regressionLayer after the tanhLayer. This will produce predictions in the required range and compute the half-mean-squared-error loss.

Here's a link to the documentation: https://www.mathworks.com/help/deeplearning/ref/regressionlayer.html

Samuli Siltanen 2019-8-30