Adaptive learning rate for neural network

The learning rate is one of the most important hyper-parameters to tune in a neural network and Deep Learning. The right choice of learning rate results in a better model and faster convergence during the learning process. Time is often wasted on selecting and tuning the learning rate. The purpose o...

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Bibliographic Details
Main Author: Teo, Chee Seong
Other Authors: Chua Chek Beng
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148493