However, the gradient descent algorithms need to update variables one by one to calculate the loss function with each iteration, which leads to a large amount of computation and a long training time.

Conjugate gradient methods are often popular for solving nonlinear optimization problems. In this paper, we discuss the spectral conjugate gradient (SCG) method, an effective numerical method that ...