huashiyiqike/LSTM-MATLAB
# LSTM_MATLAB
LSTM_MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: [Revisit Long Short-Term Memory: An Optimization Perspective], NIPS deep learning workshop, 2014.
#Features
- original Long short-term Memory
- all connect peephole
- CPU or GPU acceleration
- Mapreduce parallelization
- gradient checking
- easy configuration
- baseline experiment
#ACKNOWLEDGEMENTS
The minFunc code folder included is provided by Mark Schmidt (http://www.cs.ubc.ca/~schmidtm).
MATLAB Mapreduce is provided by Quoc V. Le(http://cs.stanford.edu/~quocle/optimizationWeb/index.html).
License
----
MIT
[Revisit Long Short-Term Memory: An Optimization Perspective]:http://bigml.cs.tsinghua.edu.cn/~jun/pub/lstm-parallel.pdf
Cite As
Qi Lyu (2024). huashiyiqike/LSTM-MATLAB (https://github.com/huashiyiqike/LSTM-MATLAB), GitHub. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
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- AI, Data Science, and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control > Function Approximation and Clustering >
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dependence
dependence/matlabserver_r1
dependence/matlabserver_r1/@Server
dependence/matlabserver_r1/@Slave
dependence/matlabserver_r1/dataloader
dependence/matlabserver_r1/dataloader/tiny
dependence/matlabserver_r1/minFunc
dependence/matlabserver_r1/minFunc/logistic
dependence/matlabserver_r1/softmax
dependence/minFunc_2012
dependence/minFunc_2012/autoDif
dependence/minFunc_2012/logisticExample
dependence/minFunc_2012/minFunc
Versions that use the GitHub default branch cannot be downloaded
Version | Published | Release Notes | |
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1.1.0.0 | GITHUB Title |
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