“深度学习-入门导读”版本间的差异

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入门导读
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==Nature/Science==
 
==Nature/Science==
 
# 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]
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==书籍==
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# Yoshua Bengio, Ian Goodfellow, Aaron Courville, Deep Learning, MIT Press, 2016. [http://www.deeplearningbook.org/ DeepLearningBook]

2016年11月28日 (一) 11:09的版本

入门导读

深度学习教程。

斯坦福

Andrew Ng实验室 DL11 DL22

  1. Stanford Deep Learning tutorials DL_tutorials

谷歌

Jeff Dean谷歌大脑

  1. Jeff Dean, Large-Scale Deep Learning for Intelligent Computer Systems, WSDM 2016. WSDM_keynote
  2. Jeffrey Dean et al. "Large scale distributed deep networks." Advances in Neural Information Processing Systems. 2012.
  3. TensorFlow: A System for Large-Scale Machine Learning, OSDI 2016. TensorFlow_OSDI2016_paper TensorFlow_paper

Nature/Science

  1. LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. "Deep learning." Nature 521(7553), pp:436-444, 2015. Deep_Learning_Nature

书籍

  1. Yoshua Bengio, Ian Goodfellow, Aaron Courville, Deep Learning, MIT Press, 2016. DeepLearningBook