Convolutional Neural Network with Extra Parameters
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I'm attempting to train a CNN based regression model (last layer is regression layer) to predict a photo quality score from a photo taken at a given shuttle speed. The 'photo quality score' is a numerical number ranging between 0 and 1. The 'shuttle speed' is also a numerical number greater than zero. Each photo is associated with its own shuttle speed. So my data structure is as below
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/193678/image.jpeg)
Matlab has an example of building CNN based regression model: https://au.mathworks.com/help/nnet/examples/train-a-convolutional-neural-network-for-regression.html
But I'm not sure how to cooperate the extra parameters into the training process?
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