기울기 소멸 문제 (Korean Wikipedia)

Analysis of information sources in references of the Wikipedia article "기울기 소멸 문제" in Korean language version.

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arxiv.org

Goh, Garrett B.; Hodas, Nathan O.; Vishnu, Abhinav (2017년 6월 15일). “Deep learning for computational chemistry”. 《Journal of Computational Chemistry》 (영어) 38 (16): 1291–1307. arXiv:1701.04503. Bibcode:2017arXiv170104503G. doi:10.1002/jcc.24764. PMID 28272810. S2CID 6831636.
Pascanu, Razvan; Mikolov, Tomas; Bengio, Yoshua (2012년 11월 21일). “On the difficulty of training Recurrent Neural Networks”. arXiv:1211.5063 [cs.LG].

doi.org

dx.doi.org

Basodi, Sunitha; Ji, Chunyan; Zhang, Haiping; Pan, Yi (September 2020). “Gradient amplification: An efficient way to train deep neural networks”. 《Big Data Mining and Analytics》 3 (3): 198. doi:10.26599/BDMA.2020.9020004. ISSN 2096-0654. S2CID 219792172.
Goh, Garrett B.; Hodas, Nathan O.; Vishnu, Abhinav (2017년 6월 15일). “Deep learning for computational chemistry”. 《Journal of Computational Chemistry》 (영어) 38 (16): 1291–1307. arXiv:1701.04503. Bibcode:2017arXiv170104503G. doi:10.1002/jcc.24764. PMID 28272810. S2CID 6831636.

harvard.edu

adsabs.harvard.edu

Goh, Garrett B.; Hodas, Nathan O.; Vishnu, Abhinav (2017년 6월 15일). “Deep learning for computational chemistry”. 《Journal of Computational Chemistry》 (영어) 38 (16): 1291–1307. arXiv:1701.04503. Bibcode:2017arXiv170104503G. doi:10.1002/jcc.24764. PMID 28272810. S2CID 6831636.

idsia.ch

people.idsia.ch

Hochreiter, S. (1991). 《Untersuchungen zu dynamischen neuronalen Netzen》 (PDF) (Diplom thesis). Institut f. Informatik, Technische Univ. Munich.

ieee.org

ieeexplore.ieee.org

Basodi, Sunitha; Ji, Chunyan; Zhang, Haiping; Pan, Yi (September 2020). “Gradient amplification: An efficient way to train deep neural networks”. 《Big Data Mining and Analytics》 3 (3): 198. doi:10.26599/BDMA.2020.9020004. ISSN 2096-0654. S2CID 219792172.

nih.gov

ncbi.nlm.nih.gov

Goh, Garrett B.; Hodas, Nathan O.; Vishnu, Abhinav (2017년 6월 15일). “Deep learning for computational chemistry”. 《Journal of Computational Chemistry》 (영어) 38 (16): 1291–1307. arXiv:1701.04503. Bibcode:2017arXiv170104503G. doi:10.1002/jcc.24764. PMID 28272810. S2CID 6831636.

semanticscholar.org

api.semanticscholar.org

Basodi, Sunitha; Ji, Chunyan; Zhang, Haiping; Pan, Yi (September 2020). “Gradient amplification: An efficient way to train deep neural networks”. 《Big Data Mining and Analytics》 3 (3): 198. doi:10.26599/BDMA.2020.9020004. ISSN 2096-0654. S2CID 219792172.
Goh, Garrett B.; Hodas, Nathan O.; Vishnu, Abhinav (2017년 6월 15일). “Deep learning for computational chemistry”. 《Journal of Computational Chemistry》 (영어) 38 (16): 1291–1307. arXiv:1701.04503. Bibcode:2017arXiv170104503G. doi:10.1002/jcc.24764. PMID 28272810. S2CID 6831636.

worldcat.org

Basodi, Sunitha; Ji, Chunyan; Zhang, Haiping; Pan, Yi (September 2020). “Gradient amplification: An efficient way to train deep neural networks”. 《Big Data Mining and Analytics》 3 (3): 198. doi:10.26599/BDMA.2020.9020004. ISSN 2096-0654. S2CID 219792172.