A Novel Learning Rate Schedule in Optimization for Neural Networks and It’s Convergence

The process of machine learning is to find parameters that minimize the cost function constructed by learning the data. This is called optimization and the parameters at that time are called the optimal parameters in neural networks. In the process of finding the optimization, there were attempts to...

Full description

Bibliographic Details
Main Authors: Jieun Park, Dokkyun Yi, Sangmin Ji
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/4/660