Fine-tuning Deep Belief Networks using Harmony Search-Reference-Cited by-同舟云学术

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Fine-tuning Deep Belief Networks using Harmony Search

Published:2016-09 Issue: Volume:46 Page:875-885
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Papa João Paulo^ORCID,Scheirer Walter,Cox David Daniel

Funder

FAPESP

CNPq

Publisher

Elsevier BV

Subject

Software

Reference34 articles.

1. A learning algorithm for Boltzmann machines;Ackley,1988

2. Learning deep architectures for AI;Bengio;Found. Trends Mach. Learn.,2009

3. Representation learning: a review and new perspectives;Bengio;IEEE Trans. Pattern Anal. Mach. Intell.,2013

4. Hyperopt: a python library for optimizing the hyperparameters of machine learning algorithms;Bergstra,2013

5. Training restricted Boltzmann machines with multi-tempering: harnessing parallelization;Brakel,2012

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