def trainSciPy2(netConfig, x, y, lmb):
th1, th2 = SimpleNN2.initRandomThetas(netConfig)
combinedTheta = SimpleNN2.combineThetas(th1, th2)
optimizedTheta = minimize(
fun = lambda p: SimpleNN2.computeCostComb(netConfig, p, x, y, lmb) ,
x0 = combinedTheta,
method = 'L-BFGS-B',
jac = lambda p: SimpleNN2.computeGradComb(netConfig, p, x, y, lmb),
#callback = lambda xk: print("Iteration complete!"),
options={'disp': False}) #'maxiter' : 5, 'eps' : 1e-10, 'gtol' : 1e-10
return SimpleNN2.splitThetas(netConfig, optimizedTheta.x)
