CNN Image Recognition with Regression Output


#1

I have realized that I have been going about my problem totally wrong; my advisor told me I must use regression to score my images - not classification.

AutoML does not all for Images to be used as input with a 2nd Numeric Lable Input, and then a Numeric Output.

I’m a novice to CNN development; how can I make an Image recognition scoring model based on regression?

image


#2

If you want to do regression using CNN then just change the loss function of the last layer. Instead of using sigmoid or softmax use Linear activation function.
RMSE as a loss function.
Thanks