I have a problem which deals with predicting two outputs when given a vector of predictors.
Assume that a predictor vector looks like
x1, y1, att1, att2, ..., attn, which says
x1, y1 are coordinates and
att's are the other attributes attached to the occurrence of
x1, y1 coordinates. Based on this predictor set I want to predict
x2, y2. This is a time series problem, which I am trying to solve using multiple regresssion.
My question is how do I setup keras, which can give me 2 outputs in the final layer. I have solved simple regression problem in keras and the code is avaialable in my github.