登录
首页 » WINDOWS » LSTM-MATLAB-master

LSTM-MATLAB-master

于 2021-04-08 发布 文件大小:639KB
0 646
下载积分: 1 下载次数: 201

代码说明:

  lstm网络的建立、训练及应用实例,测试过,可用。(LSTM network establishment, training and application examples, tested, available.)

文件列表:

LSTM-MATLAB-master
LSTM-MATLAB-master\Main.m
LSTM-MATLAB-master\README.md
LSTM-MATLAB-master\aStart.m
LSTM-MATLAB-master\batch_cell_lstm.m
LSTM-MATLAB-master\batch_equal_nomask_lstm.m
LSTM-MATLAB-master\clientLoadDataMinibatchNomask_ref.m
LSTM-MATLAB-master\data
LSTM-MATLAB-master\data\genadding.m
LSTM-MATLAB-master\dependence
LSTM-MATLAB-master\dependence\computeNumericalGradient.m
LSTM-MATLAB-master\dependence\matlabserver_r1
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\entries
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\prop-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\prop-base\slaveRun.sh.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\text-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\text-base\README.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\text-base\addpath_tica.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\text-base\java2matlab.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\text-base\matlab2java.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\text-base\serverRef.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\text-base\setup_paths.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\text-base\slaveRandSeed.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\text-base\slaveRef.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\text-base\slaveRefDelete.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\text-base\slaveRun.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\.svn\text-base\slaveRun.sh.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\.svn
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\.svn\entries
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\.svn\text-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\.svn\text-base\Server.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\.svn\text-base\emulateSlaveProcessRequest.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\.svn\text-base\getReply.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\.svn\text-base\rpc.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\.svn\text-base\rpcsum.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\.svn\text-base\sendRequest.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\Server.m
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\emulateSlaveProcessRequest.m
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\getReply.m
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\rpc.m
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\rpcsum.m
LSTM-MATLAB-master\dependence\matlabserver_r1\@Server\sendRequest.m
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\.svn
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\.svn\entries
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\.svn\text-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\.svn\text-base\Slave.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\.svn\text-base\getRequest.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\.svn\text-base\hook.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\.svn\text-base\processRequest.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\.svn\text-base\sendReply.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\Slave.m
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\getRequest.m
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\hook.m
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\processRequest.m
LSTM-MATLAB-master\dependence\matlabserver_r1\@Slave\sendReply.m
LSTM-MATLAB-master\dependence\matlabserver_r1\README
LSTM-MATLAB-master\dependence\matlabserver_r1\README~
LSTM-MATLAB-master\dependence\matlabserver_r1\addpath_tica.m
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\.svn
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\.svn\entries
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\.svn\text-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\.svn\text-base\slaveLoadCifar.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\.svn\text-base\slaveLoadTinyBatch.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\slaveLoadCifar.m
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\slaveLoadTinyBatch.m
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\entries
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\README.txt.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\annotations.txt.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\compute_hash_function.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\fast_str2num.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\loadGroundTruth.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\loadTinyImages.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\read_tiny_big_binary.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\read_tiny_big_metadata.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\read_tiny_binary_big_core.c.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\read_tiny_binary_gist_core.c.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\read_tiny_gist_binary.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\read_tiny_metadata_big_core.c.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\README.txt.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\annotations.txt.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\compute_hash_function.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\fast_str2num.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\loadGroundTruth.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\loadTinyImages.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\read_tiny_big_binary.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\read_tiny_big_metadata.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\read_tiny_binary_big_core.c.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\read_tiny_binary_gist_core.c.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\read_tiny_gist_binary.m.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\read_tiny_metadata_big_core.c.svn-base
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\README.txt
LSTM-MATLAB-master\dependence\matlabserver_r1\dataloader\tiny\annotations.txt

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • theses-with-papers
    in this theeses work we analysze the papr for better power performance in ofdm system ...............................with comparison to paper
    2013-11-26 17:35:10下载
    积分:1
  • Threshold
    Determining threshold for testing z(n)=N(n) against z(n)=a+N(n) where all of parameters are known
    2010-08-18 00:11:02下载
    积分:1
  • PCAbasic
    matlab 使用源码 主成分分析相关源吗 好东西大家一起用(matlab code of pca )
    2009-05-25 10:34:28下载
    积分:1
  • matlab
    归一化算法,很好的源代码,好不容易找到的,分享一下。(Normalization algorithm, a good source code, hard to find, and share.)
    2010-05-06 12:27:57下载
    积分:1
  • DTC_22MAS12
    this simulationto make table
    2014-02-23 19:52:43下载
    积分:1
  • RLS
    递归式最小均方(RLS)算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小,这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比,RLS算法采用时间平均,因此,所得出的最优滤波器依赖于用于计算平均值的样本数,而LMS(NLMS)算法是基于集平均而设计的,因此稳定环境下LMS(NLMS)算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)
    2021-03-06 11:09:30下载
    积分:1
  • BAM_1
    利用matlab軟體實現類神經網路 BAM演算法(Neural network using matlab BAM implementation)
    2011-01-19 00:41:11下载
    积分:1
  • GPS卡尔曼滤波跟踪算法GPS_Kalman
    用matlab编写的GPS卡尔曼滤波跟踪算法,可用于GPS导航里目标跟踪估计等,非常好用!(Prepared using matlab GPS Kalman filter tracking algorithm can be used for GPS navigation in target tracking estimation, very easy to use!)
    2020-07-08 10:48:56下载
    积分:1
  • BICOHERX
    两信号的互相关一致性的分析,很有用处,用在高阶谱方面的(two inter-related signals in the consistency of analysis, useful, the use of higher-order spectrum)
    2006-10-14 16:42:00下载
    积分:1
  • LMScode
    Beamforming Source code using LMS
    2012-10-22 15:02:28下载
    积分:1
  • 696516资源总数
  • 106769会员总数
  • 14今日下载