“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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=入门导读=
 
=入门导读=
# Stanford Deep Learning tutorials [http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial DL_tutorials]
 
 
# 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]
 
# 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.
 
# TensorFlow: A System for Large-Scale Machine Learning, OSDI 2016. [https://www.usenix.org/system/files/conference/osdi16/osdi16-abadi.pdf TensorFlow_OSDI2016_paper] [http://research.google.com/pubs/pub45381.html TensorFlow_paper]
 
# TensorFlow: A System for Large-Scale Machine Learning, OSDI 2016. [https://www.usenix.org/system/files/conference/osdi16/osdi16-abadi.pdf TensorFlow_OSDI2016_paper] [http://research.google.com/pubs/pub45381.html TensorFlow_paper]

2016年11月28日 (一) 11:00的版本

斯坦福深度学习教程 DL11 DL22

入门导读

  1. LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. "Deep learning." Nature 521(7553), pp:436-444, 2015. Deep_Learning_Nature
  2. Jeff Dean, Large-Scale Deep Learning for Intelligent Computer Systems, WSDM 2016. WSDM_keynote
  3. Jeffrey Dean et al. "Large scale distributed deep networks." Advances in Neural Information Processing Systems. 2012.
  4. TensorFlow: A System for Large-Scale Machine Learning, OSDI 2016. TensorFlow_OSDI2016_paper TensorFlow_paper