“深度学习-入门导读”版本间的差异
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==Nature/Science== | ==Nature/Science== | ||
| − | + | # DAVID E. RUMELHART, GEOFFREY E. HINTON & RONALD J. WILLIAMS, Learning representations by back-propagating errors, Nature 323, 533 - 536,09 October 1986. [http://www.nature.com/nature/journal/v323/n6088/abs/323533a0.html SGD] | |
| − | # DAVID E. RUMELHART, GEOFFREY E. HINTON & RONALD J. WILLIAMS, Learning representations by back-propagating errors, Nature 323, 533 - 536,09 October 1986. | + | |
| − | [http://www.nature.com/nature/journal/v323/n6088/abs/323533a0.html SGD] | + | |
# LeCun, Yann, 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] | # LeCun, Yann, 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] | ||
==书籍== | ==书籍== | ||
# 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] | ||
2017年1月15日 (日) 04:37的版本
入门导读
深度学习教程。
斯坦福
- Stanford Deep Learning tutorials DL_tutorials
谷歌
Jeff Dean谷歌大脑
- Jeff Dean, Large-Scale Deep Learning for Intelligent Computer Systems, WSDM 2016. WSDM_keynote
- Jeffrey Dean et al. "Large scale distributed deep networks." Advances in Neural Information Processing Systems. 2012.
- TensorFlow: A System for Large-Scale Machine Learning, OSDI 2016. TensorFlow_OSDI2016_paper TensorFlow_paper
Nature/Science
- DAVID E. RUMELHART, GEOFFREY E. HINTON & RONALD J. WILLIAMS, Learning representations by back-propagating errors, Nature 323, 533 - 536,09 October 1986. SGD
- LeCun, Yann, 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
