Home // FUTURE COMPUTING 2018, The Tenth International Conference on Future Computational Technologies and Applications // View article

A Novel Training Algorithm based on Limited-Memory quasi-Newton Method with Nesterov's Accelerated Gradient for Neural Networks

Authors:
Shahrzad Mahboubi
Hiroshi Ninomiya

Keywords: Limited-memory quasi-Newton method; Nesterov’s accelerated gradient method; neural networks; training algorithm

Abstract:
This paper describes a novel training algorithm based on Limited-memory quasi-Newton method (LQN) with Nesterov's accelerated gradient for faster training of neural networks.

Pages: 1 to 3

Copyright: Copyright (c) IARIA, 2018

Publication date: February 18, 2018

Published in: conference

ISSN: 2308-3735

ISBN: 978-1-61208-608-8

Location: Barcelona, Spain

Dates: from February 18, 2018 to February 22, 2018