“深度学习-入门导读”版本间的差异

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斯坦福深度学习教程
入门导读
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=入门导读=
 
=入门导读=
  
深度学习教程
+
深度学习教程。
 +
 
 
==斯坦福==
 
==斯坦福==
Andrew Ng组
+
Andrew Ng实验室
 
[http://deeplearning.stanford.edu/tutorial/ DL11]
 
[http://deeplearning.stanford.edu/tutorial/ DL11]
 
[http://ufldl.stanford.edu/tutorial/ DL22]
 
[http://ufldl.stanford.edu/tutorial/ DL22]
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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]
  
==谷歌大脑==
+
==谷歌==
 +
Jeff Dean谷歌大脑
 +
 
 
# Jeff Dean, Large-Scale Deep Learning for Intelligent Computer Systems, WSDM 2016. [http://research.google.com/pubs/jeff.html WSDM_keynote]
 
# Jeff Dean, Large-Scale Deep Learning for Intelligent Computer Systems, WSDM 2016. [http://research.google.com/pubs/jeff.html WSDM_keynote]
 
# Jeffrey Dean et al. "Large scale distributed deep networks." Advances in Neural Information Processing Systems. 2012.
 
# Jeffrey Dean et al. "Large scale distributed deep networks." Advances in Neural Information Processing Systems. 2012.

2016年11月28日 (一) 11:06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