圖解LSTM
Web Page
TensorFlow官方LSTM教程（colah大神Blog）：Understanding LSTM Networks (英文)
簡(jiǎn)書Not_GOD譯文：[譯] 理解 LSTM 網(wǎng)絡(luò)
Wikipedia：Long_short-term_memory
theano官網(wǎng)的LSTM教程+代碼：LSTM Networks for Sentiment Analysis
Andrej Karpathy's blog：The Unreasonable Effectiveness of Recurrent Neural Networks
WILDML |
AIDeep LearningNLP：IMPLEMENTING A GRU/LSTM RNN WITH PYTHON AND THEANOSchmidhuber的一個(gè)LSTM教程：Long Short-Term Memory: Tutorial on LSTM Recurrent Networks
Nico's blog：Simple LSTM 辞做， Github鏈接粥脚，參考Paper
如何用torch實(shí)現(xiàn)一層的lstm：LSTM implementation explained
牛津大學(xué)的Nando de Freitas教授的deep learning課程中關(guān)于RNN和LSTM的視頻和講義：Lecture 12: Recurrent neural networks and LSTMs
Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN)
Long Short-Term Memory | Neural Computation | MIT Press Journals
[知乎] 有哪些LSTM(Long Short Term Memory)和RNN(Recurrent)網(wǎng)絡(luò)的教程批钠？
Hinton老先生的公開課：Neural Networks for Machine Learning講LSTM
csdn Blog ：循環(huán)神經(jīng)網(wǎng)絡(luò)(RNN, Recurrent Neural Networks)介紹
csdn Blog ：LSTM簡(jiǎn)介以及數(shù)學(xué)推導(dǎo)(FULL BPTT)
csdn Blog ：論文閱讀：A Critical Review of Recurrent Neural Networks for Sequence Learning
知乎：循環(huán)神經(jīng)網(wǎng)絡(luò)——實(shí)現(xiàn)LSTM | Gitbook - 循環(huán)神經(jīng)網(wǎng)絡(luò)——介紹
Eric Yuan's Blog：Recurrent Neural Networks II — LSTM
Paper
A Critical Review of Recurrent Neural Networks for Sequence Learning arXiv. 1506.00019
Supervised Sequence Labelling with Recurrent Neural Networks (Alex Graves. toronto.)
LONG SHORT-TERM MEMORY cmu. cs.
LSTM: A Search Space Odyssey arXiv. 1503.04069
Neural Turing Machines arXiv. 1410.5401
......(需要大量Paper的可以簡(jiǎn)信私聊我)
Github Project
Github lstm項(xiàng)目搜索：https://github.com/search?utf8=%E2%9C%93&q=lstm
https://github.com/nicodjimenez/lstm (Python)
https://github.com/lipiji/rnn-theano (Python theno)
https://github.com/dophist/kaldi-lstm (C++ kaldi-lstm)
https://github.com/viorik/ConvLSTM (Lua ConvLSTM)
Implementing Multiple Layer Neural Network from Scratch：
https://github.com/pangolulu/neural-network-from-scratch (Python)
（更新中吴裤，歡迎補(bǔ)充！）
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