“深度学习-入门导读”版本间的差异
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==Nature/Science== | ==Nature/Science== | ||
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| + | # Gradient backpropagation for neural network learning: Rumelhart et Hinton et Williams, 1986. [http://www.nature.com/nature/journal/v323/n6088/abs/323533a0.html SGD] | ||
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# 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) 04:33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
- Gradient backpropagation for neural network learning: Rumelhart et Hinton et Williams, 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
