As title, after training and testing my neural network model in python.
Can I use SQP function in scipy for neural network regression problem optimization?
For example, I am using temperature,humid,wind speed ,these three feature for input,predicting energy usage in some area.
So I use neural network to model these input and output's relationship, now I wanna know some energy usage lowest point, what input feature are(i.e. what temperature,humid,wind seed are).This just example so may sound unrealistic.
Because as far as I know, not so many people just use scipy for neural network optimization. But in some limitation , scipy is the most ideal optimization tool what I have by now(p.s.: I can't use cvxopt).
Can someone give me some advice? I will be very appreciate!