“深度学习-入门导读”版本间的差异
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=== Stanford === | === Stanford === | ||
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# Stanford Deep Learning tutorials [http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial DL_tutorials] | # Stanford Deep Learning tutorials [http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial DL_tutorials] | ||
| + | # Tutorials by Andrew Ng [http://deeplearning.stanford.edu/tutorial/ DL11-2015] [http://ufldl.stanford.edu/tutorial/ DL22-2015] | ||
=== Google Brain === | === Google Brain === | ||
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=== Nature/Science === | === Nature/Science === | ||
| − | # D. E. Rumelhart, G. E. Hinton, and R. J. Williams. "Learning representations by back-propagating errors." Nature 323.6088 | + | # D. E. Rumelhart, G. E. Hinton, and R. J. Williams. "Learning representations by back-propagating errors." Nature 323.6088:533-536, 1986. [http://www.nature.com/nature/journal/v323/n6088/abs/323533a0.html SGD] |
# Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. "Deep learning." Nature 521(7553), pp:436-444, 2015. [http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html Deep_Learning_Nature] | # Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. "Deep learning." Nature 521(7553), pp:436-444, 2015. [http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html Deep_Learning_Nature] | ||
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# Yoshua Bengio, Ian Goodfellow, Aaron Courville, Deep Learning, MIT Press, 2016. [http://www.deeplearningbook.org/ DeepLearningBook] | # Yoshua Bengio, Ian Goodfellow, Aaron Courville, Deep Learning, MIT Press, 2016. [http://www.deeplearningbook.org/ DeepLearningBook] | ||
| + | # Yu, Dong, and Li Deng. Automatic speech recognition: A deep learning approach. Springer, 2014. | ||
| + | # Deng, Li, and Dong Yu. "Deep learning: methods and applications." Foundations and Trends® in Signal Processing 7, no. 3–4 (2014): 197-387. | ||
2017年11月23日 (四) 01:55的最后版本
Stanford
- Stanford Deep Learning tutorials DL_tutorials
- Tutorials by Andrew Ng DL11-2015 DL22-2015
Google Brain
- Jeffrey Dean et al. "Large scale distributed deep networks." NIPS 2012. Abstract L-BFGS_Paper
- Jeff Dean, Large-Scale Deep Learning for Intelligent Computer Systems, WSDM 2016. WSDM_keynote
- TensorFlow: A System for Large-Scale Machine Learning, OSDI 2016. Abstract TensorFlow_OSDI2016_Paper
Nature/Science
- D. E. Rumelhart, G. E. Hinton, and R. J. Williams. "Learning representations by back-propagating errors." Nature 323.6088:533-536, 1986. SGD
- Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. "Deep learning." Nature 521(7553), pp:436-444, 2015. Deep_Learning_Nature
书籍
- Yoshua Bengio, Ian Goodfellow, Aaron Courville, Deep Learning, MIT Press, 2016. DeepLearningBook
- Yu, Dong, and Li Deng. Automatic speech recognition: A deep learning approach. Springer, 2014.
- Deng, Li, and Dong Yu. "Deep learning: methods and applications." Foundations and Trends® in Signal Processing 7, no. 3–4 (2014): 197-387.
