Liên kết ngoài Bộ_nhớ_dài-ngắn

Liên kết ngoài Bộ_nhớ_dài-ngắn_hạn

Recurrent Neural Networks with over 30 LSTM papers by Jürgen Schmidhuber's group at Dalle Molle Institute for Artificial Intelligence Research
Gers, Felix (2001). “Long Short-Term Memory in Recurrent Neural Networks” (PDF). PhD thesis.
Gers, Felix A.; Schraudolph, Nicol N.; Schmidhuber, Jürgen (tháng 8 năm 2002). “Learning precise timing with LSTM recurrent networks” (PDF). Journal of Machine Learning Research. 3: 115–143.
Abidogun, Olusola Adeniyi (2005). Data Mining, Fraud Detection and Mobile Telecommunications: Call Pattern Analysis with Unsupervised Neural Networks. Master's Thesis (Thesis). University of the Western Cape. hdl:11394/249. Lưu trữ (PDF) bản gốc ngày 22 tháng 5 năm 2012.
- original with two chapters devoted to explaining recurrent neural networks, especially LSTM.
Monner, Derek D.; Reggia, James A. (2010). “A generalized LSTM-like training algorithm for second-order recurrent neural networks” (PDF). Neural Networks. 25 (1): 70–83. doi:10.1016/j.neunet.2011.07.003. PMC 3217173. PMID 21803542. High-performing extension of LSTM that has been simplified to a single node type and can train arbitrary architectures
Dolphin, R. “LSTM Networks - A Detailed Explanation”. Article.
Herta, Christian. “How to implement LSTM in Python with Theano”. Tutorial.
Analyze the equation and build your own custom LSTM cell in Python. Tutorial

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