How should continuous outputs be in convolutional neural network?
Convolutional networks can be used for regression tasks too. The difference corresponds to the output layers of the dense networks. In classification tasks you use sigmoid or softmax depending on your task. In regression tasks you can simply use linear activation function as the non-linearity of the last layers. Consequently, if you have the ages as the outputs of your network and if they are in a same scale as the inputs you can simply use them as they are right now.