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

  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/

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