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
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?