오토인코더 (Korean Wikipedia)

Analysis of information sources in references of the Wikipedia article "오토인코더" in Korean language version.

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arxiv.org

Schmidhuber, Jürgen (January 2015). “Deep learning in neural networks: An overview”. 《Neural Networks》 61: 85–117. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003. PMID 25462637. S2CID 11715509.
Diederik P Kingma; Welling, Max (2013). “Auto-Encoding Variational Bayes”. arXiv:1312.6114 [stat.ML].

deeplearningbook.org

Goodfellow, Ian; Bengio, Yoshua; Courville, Aaron (2016). 《Deep Learning》. MIT Press. ISBN 978-0262035613.

doi.org

dx.doi.org

Kramer, Mark A. (1991). “Nonlinear principal component analysis using autoassociative neural networks” (PDF). 《AIChE Journal》 37 (2): 233–243. doi:10.1002/aic.690370209.
Japkowicz, Nathalie; Hanson, Stephen José; Gluck, Mark A. (2000년 3월 1일). “Nonlinear Autoassociation Is Not Equivalent to PCA”. 《Neural Computation》 12 (3): 531–545. doi:10.1162/089976600300015691. ISSN 0899-7667. PMID 10769321. S2CID 18490972.
Schmidhuber, Jürgen (January 2015). “Deep learning in neural networks: An overview”. 《Neural Networks》 61: 85–117. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003. PMID 25462637. S2CID 11715509.

doi.org

Japkowicz, Nathalie; Hanson, Stephen José; Gluck, Mark A. (2000년 3월 1일). “Nonlinear Autoassociation Is Not Equivalent to PCA”. 《Neural Computation》 12 (3): 531–545. doi:10.1162/089976600300015691. ISSN 0899-7667. PMID 10769321. S2CID 18490972.

neurips.cc

proceedings.neurips.cc

Schwenk, Holger; Bengio, Yoshua (1997). “Training Methods for Adaptive Boosting of Neural Networks”. 《Advances in Neural Information Processing Systems》 (MIT Press) 10.

nih.gov

ncbi.nlm.nih.gov

Japkowicz, Nathalie; Hanson, Stephen José; Gluck, Mark A. (2000년 3월 1일). “Nonlinear Autoassociation Is Not Equivalent to PCA”. 《Neural Computation》 12 (3): 531–545. doi:10.1162/089976600300015691. ISSN 0899-7667. PMID 10769321. S2CID 18490972.
Schmidhuber, Jürgen (January 2015). “Deep learning in neural networks: An overview”. 《Neural Networks》 61: 85–117. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003. PMID 25462637. S2CID 11715509.

researchgate.net

Kramer, Mark A. (1991). “Nonlinear principal component analysis using autoassociative neural networks” (PDF). 《AIChE Journal》 37 (2): 233–243. doi:10.1002/aic.690370209.

semanticscholar.org

api.semanticscholar.org

Japkowicz, Nathalie; Hanson, Stephen José; Gluck, Mark A. (2000년 3월 1일). “Nonlinear Autoassociation Is Not Equivalent to PCA”. 《Neural Computation》 12 (3): 531–545. doi:10.1162/089976600300015691. ISSN 0899-7667. PMID 10769321. S2CID 18490972.
Schmidhuber, Jürgen (January 2015). “Deep learning in neural networks: An overview”. 《Neural Networks》 61: 85–117. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003. PMID 25462637. S2CID 11715509.

torch.ch

Generating Faces with Torch, Boesen A., Larsen L. and Sonderby S.K., 2015 torch.ch/blog/2015/11/13/gan.html

toronto.edu

cs.toronto.edu

Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985). A learning algorithm for Boltzmann machines. Cognitive Science, 9, 147-169.

worldcat.org

Japkowicz, Nathalie; Hanson, Stephen José; Gluck, Mark A. (2000년 3월 1일). “Nonlinear Autoassociation Is Not Equivalent to PCA”. 《Neural Computation》 12 (3): 531–545. doi:10.1162/089976600300015691. ISSN 0899-7667. PMID 10769321. S2CID 18490972.