I am given a dataset where the class labels are continuous values between
[-1,1]. Based on this, I have few questions:
- Can I use Back-Propagation Neural Network (BPNN) for this problem? Previously, I had a different dataset where the labels are binary classes but for this dataset I am not sure since it is now a regression problem.
- In case neural network can work with this dataset, what activation function should I use?
Sigmoid, hyperbolic tan function (
tanh), or rectified linear unit (