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49 | 49 | * [[paper](http://arxiv.org/pdf/1508.06615v4.pdf)] |
50 | 50 |
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51 | 51 | #### Deep Reinforcement Learning |
52 | | -* Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller, NIPS, 2013 |
53 | | -* [[code](https://github.com/nivwusquorum/tensorflow-deepq)] |
54 | | -* [[paper](http://arxiv.org/abs/1312.5602)] |
| 52 | +##### Human-level control through deep reinforcement learning |
| 53 | +* Volodymyr Mnih, et al, 2014 |
| 54 | +* [[code1](https://github.com/nivwusquorum/tensorflow-deepq)], not trained on atari |
| 55 | +* [[code2](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/Atari2600)] |
| 56 | +* [[paper](http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html)] |
| 57 | + |
| 58 | +##### Deep Reinforcement Learning with Double Q-learning |
| 59 | +* Hado van Hasselt, Arthur Guez, David Silver, 2015 |
| 60 | +* [[code](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/Atari2600)] |
| 61 | +* [[paper](http://arxiv.org/abs/1509.06461)] |
55 | 62 |
|
56 | 63 | #### Using Deep Q-Network to Learn How To Play Flappy Bird |
57 | 64 | * Kevin Chen, Deep Reinforcement Learning for Flappy Bird, Report from http://cs229.stanford.edu/ 2015 project |
|
71 | 78 | * [[paper](http://emnlp2014.org/papers/pdf/EMNLP2014181.pdf)] |
72 | 79 | * [[Additional Material](http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/)] |
73 | 80 |
|
74 | | -### Deep Residual Learning for Image Recognition |
| 81 | +#### Deep Residual Learning for Image Recognition |
75 | 82 | * K He, X Zhang, S Ren, J Sun |
76 | 83 | * [[code](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/ResNet)] for cifar10 |
77 | 84 | * [[paper1](http://arxiv.org/abs/1512.03385)], [[paper2](http://arxiv.org/abs/1603.05027)] |
78 | 85 |
|
79 | | -### colornet - Neural Network to colorize grayscale images |
| 86 | +#### colornet - Neural Network to colorize grayscale images |
80 | 87 | * pavelgonchar |
81 | 88 | * [[github page](https://github.com/pavelgonchar/colornet)] |
82 | 89 | * [[paper1 - Hypercolumns for Object Segmentation and Fine-grained Localization](http://arxiv.org/pdf/1411.5752v2.pdf)] |
83 | 90 | * [[paper2 - VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION](http://arxiv.org/pdf/1409.1556.pdf)] |
84 | 91 | * [[explanation](http://tinyclouds.org/colorize/)] |
| 92 | + |
| 93 | +#### DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients |
| 94 | + * Shuchang Zhou, Zekun Ni, Xinyu Zhou, He Wen, Yuxin Wu, Yuheng Zou, 2016 |
| 95 | + * [[code](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/DoReFa-Net)] |
| 96 | + * [[paper](http://arxiv.org/abs/1606.06160)] |
85 | 97 |
|
86 | 98 | ### A Neural Algorithm of Artistic Style |
87 | 99 | * Leon A. Gatys, Alexander S. Ecker, Matthias Bethge |
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