“深度学习-入门导读”版本间的差异
来自iCenter Wiki
（→Nature/Science） |
|||
| 第12行： | 第12行： | ||
=== 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] | ||
2017年4月6日 (四) 08:47的版本
Stanford
- Tutorials by Andrew Ng DL11-2015 DL22-2015
- Stanford Deep Learning tutorials DL_tutorials
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
