I have 2 types of input that I need to classify together. Image and numerical information.
I need to transfer the image through CNN for example Squeeze Net and then enter the numeric information (array) and make a classification on everything.
I can not train one network for the images and then connect it to the numeric information because I have no information about the classification of the images, I only have information about the images and the numerical information together.
I tried to use deep network designer, to do something like this:
But there is an error that says that these are 2 different types of data ...
How can I make a network that receives two different types of inputs?