循环神经网络重要的论文博客汇总

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Recurrent Neural Network 学习之路

来源于http://blog.csdn.net/yangyangyang20092010/article/details/50374289

Followed by distinctive figures in corresponding articles.

1. Read paper: “A critical review of Recurrent Neural Networks for Sequence Learning”.

2. Read blog: 《LSTM简介以及数学推导(FULL BPTT)》

3. Read blog: Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs

Another way to build deep Recurrent Neural Networks:Generating Sequences with Recurrent Neural Networks

4. Read blog:The unreasonable effectiveness of Recurrent Neural Network - Andrej Karpathy blog

5. Read blog:Understanding LSTM Networks (Nice post series)

6. Read the important paper: “Supervised Sequence Labelling with Recurrent Neural Networks” - Alex Graves

7. Read the special tutorial from Schmidhuber (IDSIA):

http://people.idsia.ch/~juergen/lstm/sld001.htm

8. Take a note for this paper: A clockwork RNN

9. read a paper about early stopping for training: Early stopping-but when?

10. keep in touch with the work from DeepMind: https://deepmind.com/publications.html

Code learning:

1. blog: http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/

2. Andrej Karpathy:

Minimal character-level language model with a Vanilla Recurrent Neural Network

3. code from uyaseen. It’s proved to be runable.

https://github.com/uyaseen/theano-recurrence

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