Autocodificatore (Italian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Autocodificatore" in Italian language version.

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1deeplearningbook.org

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archive.org

Pedro Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, Basic Books, 2015, ISBN 978-046506192-1.

arxiv.org

An Introduction to Variational Autoencoders, vol. 12, DOI:10.1561/2200000056, arXiv:1906.02691.
Deep Learning in Neural Networks: An Overview, vol. 61, DOI:10.1016/j.neunet.2014.09.003, PMID 25462637, arXiv:1404.7828.

deeplearningbook.org

Deep Learning book, ISBN 978-0262035613.

doi.org

dx.doi.org

Nonlinear principal component analysis using autoassociative neural networks, vol. 37, DOI:10.1002/aic.690370209.
An Introduction to Variational Autoencoders, vol. 12, DOI:10.1561/2200000056, arXiv:1906.02691.
Modeling word perception using the Elman network, vol. 71, DOI:10.1016/j.neucom.2008.04.030.
Autoencoder for words, vol. 139, DOI:10.1016/j.neucom.2013.09.055.
Deep Learning in Neural Networks: An Overview, vol. 61, DOI:10.1016/j.neunet.2014.09.003, PMID 25462637, arXiv:1404.7828.
Learning Deep Architectures for AI (PDF), vol. 2, DOI:10.1561/2200000006, PMID 23946944.

mathworks.com

it.mathworks.com

Autocodificatori, su it.mathworks.com. URL consultato il 22 luglio 2022.

nih.gov

ncbi.nlm.nih.gov

Deep Learning in Neural Networks: An Overview, vol. 61, DOI:10.1016/j.neunet.2014.09.003, PMID 25462637, arXiv:1404.7828.
Learning Deep Architectures for AI (PDF), vol. 2, DOI:10.1561/2200000006, PMID 23946944.

oadoi.org

Nonlinear principal component analysis using autoassociative neural networks, vol. 37, DOI:10.1002/aic.690370209.
An Introduction to Variational Autoencoders, vol. 12, DOI:10.1561/2200000056, arXiv:1906.02691.
Modeling word perception using the Elman network, vol. 71, DOI:10.1016/j.neucom.2008.04.030.
Autoencoder for words, vol. 139, DOI:10.1016/j.neucom.2013.09.055.
Deep Learning in Neural Networks: An Overview, vol. 61, DOI:10.1016/j.neunet.2014.09.003, PMID 25462637, arXiv:1404.7828.

toronto.edu

cs.toronto.edu

Hinton GE, Krizhevsky A, Wang SD. Transforming auto-encoders. In International Conference on Artificial Neural Networks 2011 Jun 14 (pp. 44-51). Springer, Berlin, Heidelberg.

umontreal.ca

iro.umontreal.ca

Learning Deep Architectures for AI (PDF), vol. 2, DOI:10.1561/2200000006, PMID 23946944.