圖解LSTM
Long_Short_Term_Memory
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 THEANO
Schmidhuber的一個(gè)LSTM教程：Long Short-Term Memory: Tutorial on LSTM Recurrent Networks
Nico's blog：Simple LSTM检访，Github鏈接脆贵，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
圖解LSTM神經(jīng)網(wǎng)絡(luò)架構(gòu)及其11種變體（附論文）
[知乎] 有哪些LSTM(Long Short Term Memory)和RNN(Recurrent)網(wǎng)絡(luò)的教程卖氨？
[知乎] LSTM神經(jīng)網(wǎng)絡(luò)輸入輸出究竟是怎樣的？
[知乎] 循環(huán)神經(jīng)網(wǎng)絡(luò)教程第一部分-RNN簡(jiǎn)介
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 LearningarXiv. 1506.00019
Supervised Sequence Labelling with Recurrent Neural Networks(Alex Graves. toronto.)
LONG SHORT-TERM MEMORYcmu. cs.
LSTM: A Search Space OdysseyarXiv. 1503.04069
Neural Turing MachinesarXiv. 1410.5401
計(jì)算機(jī)視覺中RNN應(yīng)用于目標(biāo)檢測(cè)(zhwhong)
Github Project
Github lstm項(xiàng)目搜索：https://github.com/search?utf8=%E2%9C%93&q=lstm
https://github.com/wojzaremba/lstm(Lua)
https://github.com/nicodjimenez/lstm(Python)
https://github.com/junhyukoh/caffe-lstm(C++)
https://github.com/karpathy/char-rnn(Lua)
https://github.com/lipiji/rnn-theano(Python theno)
https://github.com/dophist/kaldi-lstm(C++ kaldi-lstm)
https://github.com/viorik/ConvLSTM(Lua ConvLSTM)
https://github.com/huashiyiqike/LSTM-MATLAB(MATLAB)
Implementing Multiple Layer Neural Network from Scratch：
https://github.com/pangolulu/neural-network-from-scratch(Python)
