Deep perceptrons and supervised Levenberg-Marquardt learning with applications to key speaker verification
碩士 === 國立東華大學 === 應用數學系 === 104 === This essay work explores learning deep neural networks based on the Levenberg-Marquardt (LM) algorithm with applications to key speaker verification. The incremental construction process of deep multilayer perceptrons is based on effective LM learning of receptive...
Main Authors: | Bo-Xiang Chiou, 邱柏翔 |
---|---|
Other Authors: | Jiann-Ming Wu |
Format: | Others |
Published: |
2016
|
Online Access: | http://ndltd.ncl.edu.tw/handle/23436176079310280180 |
Similar Items
-
Adaptive Levenberg–Marquardt Algorithm: A New Optimization Strategy for Levenberg–Marquardt Neural Networks
by: Zhiqi Yan, et al.
Published: (2021-09-01) -
Annealed Levenberg-Marquardt Learning for Combinatorial Optimizations
by: Kun-Fong Li, et al.
Published: (2009) -
Levenberg-Marquardt Method for the Eigenvalue Complementarity Problem
by: Yuan-yuan Chen, et al.
Published: (2014-01-01) -
Distributed localization using Levenberg-Marquardt algorithm
by: Shervin Parvini Ahmadi, et al.
Published: (2021-08-01) -
An implementation of the partitioned Levenberg-Marquardt algorithm for applications in computer vision
by: Tiago Polizer da Silva, et al.
Published: (2009-03-01)