深度学习路线记录

1. 机器学习视频 吴恩达

   http://open.163.com/special/opencourse/machinelearning.html

2. 神经网络深度学习在线教程 共六章

   http://neuralnetworksanddeeplearning.com

3. 《神经网络设计》 国外经典教程 第十一章 反向传播

4. CNN:《Notes On Convolutional Neutral Networks》 Jake Bouvrie

   http://cogprints.org/5869/1/cnn_tutorial.pdf

   • CNN参考资料
     • 技术向：一文读懂卷积神经网络CNN
     • Deep Learning模型之：CNN卷积神经网络推导和实现

5. RNNs: A tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the "echo state network" approach

   http://minds.jacobs-university.de/sites/default/files/uploads/papers/ESNTutorialRev.pdf

6. LSTM: Understanding LSTM Networks

   http://colah.github.io/posts/2015-08-Understanding-LSTMs/

7. Attension and Augmented Recurrent Neural Networks

   http://distill.pub/2016/augmented-rnns/

8. Neural Turning Machines

   https://arxiv.org/pdf/1410.5401v2.pdf

9. tensorflow 安装及使用

   http://www.cnblogs.com/peaceWang/p/5970495.html

10. tensorflow学习笔记（六）：LSTM 与 GRU

    http://blog.csdn.net/u012436149/article/details/52887091

11. word2vec 中的数学原理详解（五）基于 Negative Sampling 的模型

    http://blog.csdn.net/itplus/