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@@ -8,11 +8,18 @@ I would continue adding papers to this roadmap.
 
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-[1] LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. "Deep learning." Nature 521.7553 (2015): 436-444. [[pdf]](http://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf) **(Three Giants' Survey)**
+[1] LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. "Deep learning." Nature 521.7553 (2015): 436-444. [[pdf]](http://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf) **(Three Giants' Survey)** :star::star::star::star::star:
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+[2] Hinton, Geoffrey E., Simon Osindero, and Yee-Whye Teh. "A fast learning algorithm for deep belief nets." Neural computation 18.7 (2006): 1527-1554.[[pdf]](http://www.cs.toronto.edu/~hinton/absps/ncfast.pdf)**(DBN, Deep Learning Eve)** :star::star::star:
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+[3] Hinton, Geoffrey E., and Ruslan R. Salakhutdinov. "Reducing the dimensionality of data with neural networks." Science 313.5786 (2006): 504-507. [[pdf]](http://www.cs.toronto.edu/~hinton/science.pdf) **(Milestone, DBN, Show the promise of deep learning)** :star::star::star:
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+[4] Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems. 2012. [[pdf]](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf) **(AlexNet, Deep Learning Breakthrough)** :star::star::star::star::star:
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+[5] Simonyan, Karen, and Andrew Zisserman. "Very deep convolutional networks for large-scale image recognition." arXiv preprint arXiv:1409.1556 (2014).[[pdf]](https://arxiv.org/pdf/1409.1556.pdf) **(VGGNet,Neural Networks become very deep!)**
 
-[2] Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems. 2012. [[pdf]](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf) **(AlexNet, Deep Learning Breakthrough)**
 
-[3] Hinton, Geoffrey E., and Ruslan R. Salakhutdinov. "Reducing the dimensionality of data with neural networks." Science 313.5786 (2006): 504-507. [[pdf]](http://www.cs.toronto.edu/~hinton/science.pdf) **(Milestone, Show the promise of deep learning)**