Dear Experts,
I have a network which has 4 Boolean outputs. It is not a classification problem and each of them are meaningful. I expect to get a zero or one for each of them. Right now I have used the Euclidean loss function.
When I am using the accuracy layer, it complains about the dimension of output. It needs just one Boolean output, not four. I think it is because it considers the problem as a classification problem.
I have two questions.
First, considering the error of the accuracy layer, is the Euclidean loss function suitable for this task? And How I can get the accuracy for my network?
Second,I gonna get the exact value of the predicted output for each of the four variable. I mean I need the exact predicted values for each test record. Now, I just have the loss value for each batch.
Please guide me to solve those issues.
Thanks,
Afshin