Deep Learning, Neural, Neural Networks, Recurrent Neural Network, AI.
variable individually based on the past gradient data. It is particularly useful for sparse data but can suffer from rapidly decreasing learning rates, making it careful to the choice of the initial learning pace. · L-BFGS (Limited-Memory Broyden–Fletcher–Goldfarb–Shanno) — It is a quasi-Newton