Research of stacked denoising sparse autoencoder

Learning results depend on the representation of data, so how to efficiently represent data has been a research hot spot in machine learning and artificial intelligence. With the deepening of the deep learning research, studying how to train the deep networks to express high dimensional data efficie...

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Bibliographic Details
Published in:	Neural computing & applications Vol. 30; no. 7; pp. 2083 - 2100
Main Authors:	Meng, Lingheng, Ding, Shifei, Zhang, Nan, Zhang, Jian
Format:	Journal Article
Language:	English
Published:	London Springer London 01.10.2018 Springer Nature B.V
Subjects:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Image Processing and Computer Vision Machine learning Networks Noise reduction Original Article Probability and Statistics in Computer Science Sparsity Deep learning Feature extraction Sparse coding Autoencoder Unsupervised learning Stacked autoencoders
ISSN:	0941-0643, 1433-3058
Online Access:	Get full text
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