文件列表:

aStart.m (1070, 2016-10-29)
__MACOSX (0, 2018-04-12)
._aStart.m (177, 2016-10-29)
varlist2.m (250, 2016-10-29)
._varlist2.m (177, 2016-10-29)
dependence (0, 2017-01-05)
dependence\minFunc_2012 (0, 2017-01-05)
dependence\minFunc_2012\example_derivativeCheck.m (1392, 2015-12-28)
dependence (0, 2018-04-12)
dependence\minFunc_2012 (0, 2018-04-12)
dependence\minFunc_2012\._example_derivativeCheck.m (177, 2015-12-28)
dependence\minFunc_2012\autoDif (0, 2017-01-05)
dependence\minFunc_2012\autoDif\fastDerivativeCheck.m (1704, 2015-12-28)
dependence\minFunc_2012\autoDif (0, 2018-04-12)
dependence\minFunc_2012\autoDif\._fastDerivativeCheck.m (177, 2015-12-28)
dependence\minFunc_2012\autoDif\autoGrad.m (1319, 2015-12-28)
dependence\minFunc_2012\autoDif\._autoGrad.m (177, 2015-12-28)
dependence\minFunc_2012\autoDif\derivativeCheck.m (1034, 2015-12-28)
dependence\minFunc_2012\autoDif\._derivativeCheck.m (177, 2015-12-28)
dependence\minFunc_2012\autoDif\autoTensor.m (1338, 2015-12-28)
dependence\minFunc_2012\autoDif\._autoTensor.m (177, 2015-12-28)
dependence\minFunc_2012\autoDif\autoHess.m (1184, 2015-12-28)
dependence\minFunc_2012\autoDif\._autoHess.m (177, 2015-12-28)
dependence\minFunc_2012\autoDif\autoHv.m (371, 2015-12-28)
dependence\minFunc_2012\autoDif\._autoHv.m (177, 2015-12-28)
dependence\minFunc_2012\._autoDif (177, 2017-01-05)
dependence\minFunc_2012\example_minFunc.m (2421, 2015-12-28)
dependence\minFunc_2012\._example_minFunc.m (177, 2015-12-28)
dependence\minFunc_2012\logisticExample (0, 2017-01-05)
dependence\minFunc_2012\logisticExample\mylogsumexp.m (228, 2015-12-28)
dependence\minFunc_2012\logisticExample (0, 2018-04-12)
dependence\minFunc_2012\logisticExample\._mylogsumexp.m (177, 2015-12-28)
dependence\minFunc_2012\logisticExample\example_minFunc_LR.m (2449, 2015-12-28)
dependence\minFunc_2012\logisticExample\._example_minFunc_LR.m (177, 2015-12-28)
dependence\minFunc_2012\logisticExample\LogisticHv.m (216, 2015-12-28)
dependence\minFunc_2012\logisticExample\._LogisticHv.m (177, 2015-12-28)
dependence\minFunc_2012\logisticExample\LogisticDiagPrecond.m (417, 2015-12-28)
dependence\minFunc_2012\logisticExample\._LogisticDiagPrecond.m (177, 2015-12-28)
... ...

# 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. Creater & Maintainer Qi Lyu #FEATURES - original Long short-term Memory - all connect peephole - support optimization methods like LBFGS and CG - 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). #USAGE To run the code, start from aStart.m. Data is generated by scripts in data directory on-the-fly. For faster LSTM implementation with complete features, see 'LSTMLayer' defined in [C++ version]. The dataset and labels etc follows the original LSTM paper in 1997. License ---- MIT [Revisit Long Short-Term Memory: An Optimization Perspective]:http://bigml.cs.tsinghua.edu.cn/~jun/pub/lstm-parallel.pdf [C++ version]:https://github.com/huashiyiqike/NETLAB/blob/master/layernet/core/layer-inl.hpp

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：