Hello, I have a database of images where every image is represented by a number, eg. color entropy calculated for that image. I am trying to train a CNN by giving to the network an image and the corresponding number to it and I’m expecting after the train is done to have a CNN that will see an image and predict me a number(eg. color entropy). Can anyone give me ideas? ( I am new to pytorch and I can’t fiind anything similar to this in tutorials). How to train the network so that it can estimate me a number after the CNN gets an image as an input?