登录
首页 » matlab » LSTM-example

LSTM-example

于 2020-07-07 发布
0 218
下载积分: 1 下载次数: 8

代码说明:

说明:  这是一个深度神经网络LSTM的教程,里面包含许多例子(Example of Lstm network)

文件列表:

LSTM-example, 0 , 2020-07-07
LSTM-example\aStart.m, 1053 , 2018-01-04
LSTM-example\batch_cell_lstm.m, 8858 , 2018-01-04
LSTM-example\batch_equal_nomask_lstm.m, 8905 , 2018-01-04
LSTM-example\clientLoadDataMinibatchNomask_ref.m, 1229 , 2018-01-04
LSTM-example\data, 0 , 2020-07-07
LSTM-example\data\genadding.m, 2527 , 2018-01-04
LSTM-example\dependence, 0 , 2020-07-07
LSTM-example\dependence\computeNumericalGradient.m, 1171 , 2018-01-04
LSTM-example\dependence\matlabserver_r1, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\.svn, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\.svn\entries, 2022 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\.svn\prop-base, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\.svn\prop-base\slaveRun.sh.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\.svn\text-base, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\.svn\text-base\addpath_tica.m.svn-base, 749 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\.svn\text-base\java2matlab.m.svn-base, 1937 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\.svn\text-base\matlab2java.m.svn-base, 1724 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\.svn\text-base\README.svn-base, 17793 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\.svn\text-base\serverRef.m.svn-base, 1759 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\.svn\text-base\setup_paths.m.svn-base, 838 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\.svn\text-base\slaveRandSeed.m.svn-base, 182 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\.svn\text-base\slaveRef.m.svn-base, 1428 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\.svn\text-base\slaveRefDelete.m.svn-base, 361 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\.svn\text-base\slaveRun.m.svn-base, 666 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\.svn\text-base\slaveRun.sh.svn-base, 2037 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\@Server\.svn, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\@Server\.svn\entries, 1176 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server\.svn\text-base, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\@Server\.svn\text-base\emulateSlaveProcessRequest.m.svn-base, 982 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server\.svn\text-base\getReply.m.svn-base, 1090 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server\.svn\text-base\rpc.m.svn-base, 3504 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server\.svn\text-base\rpcsum.m.svn-base, 560 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server\.svn\text-base\sendRequest.m.svn-base, 672 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server\.svn\text-base\Server.m.svn-base, 7443 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server\emulateSlaveProcessRequest.m, 982 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server\getReply.m, 1090 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server\rpc.m, 3504 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server\rpcsum.m, 560 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server\sendRequest.m, 672 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Server\Server.m, 7443 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Slave, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\@Slave\.svn, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\@Slave\.svn\entries, 1013 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Slave\.svn\text-base, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\@Slave\.svn\text-base\getRequest.m.svn-base, 488 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Slave\.svn\text-base\hook.m.svn-base, 1213 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Slave\.svn\text-base\processRequest.m.svn-base, 2284 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Slave\.svn\text-base\sendReply.m.svn-base, 284 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Slave\.svn\text-base\Slave.m.svn-base, 1372 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Slave\getRequest.m, 488 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Slave\hook.m, 1213 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Slave\processRequest.m, 2284 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Slave\sendReply.m, 284 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\@Slave\Slave.m, 1372 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\addpath_tica.m, 749 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\dataloader\.svn, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\dataloader\.svn\entries, 594 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\.svn\text-base, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\dataloader\.svn\text-base\slaveLoadCifar.m.svn-base, 1846 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\.svn\text-base\slaveLoadTinyBatch.m.svn-base, 260 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\slaveLoadCifar.m, 1846 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\slaveLoadTinyBatch.m, 260 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\entries, 2296 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\annotations.txt.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\compute_hash_function.m.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\fast_str2num.m.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\loadGroundTruth.m.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\loadTinyImages.m.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\README.txt.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\read_tiny_big_binary.m.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\read_tiny_big_metadata.m.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\read_tiny_binary_big_core.c.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\read_tiny_binary_gist_core.c.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\read_tiny_gist_binary.m.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\prop-base\read_tiny_metadata_big_core.c.svn-base, 30 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base, 0 , 2020-07-07
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\annotations.txt.svn-base, 450593 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\compute_hash_function.m.svn-base, 273 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\fast_str2num.m.svn-base, 128 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\loadGroundTruth.m.svn-base, 397 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\loadTinyImages.m.svn-base, 958 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\README.txt.svn-base, 5682 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\read_tiny_big_binary.m.svn-base, 3578 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\read_tiny_big_metadata.m.svn-base, 5760 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\read_tiny_binary_big_core.c.svn-base, 2900 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\read_tiny_binary_gist_core.c.svn-base, 2868 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\read_tiny_gist_binary.m.svn-base, 3272 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\.svn\text-base\read_tiny_metadata_big_core.c.svn-base, 5575 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\annotations.txt, 450593 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\compute_hash_function.m, 273 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\fast_str2num.m, 128 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\loadGroundTruth.m, 397 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\loadTinyImages.m, 958 , 2018-01-04
LSTM-example\dependence\matlabserver_r1\dataloader\tiny\README.txt, 5682 , 2018-01-04

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

  • MATLAB_image_transform_classical_source_tutorial
    MATLAB图像变换经典源码教程MATLAB image transform classical source tutorial(MATLAB image transform classical source tutorial MATLAB image transform classical source tutorial)
    2010-08-03 12:36:17下载
    积分:1
  • APF_ip_iq
    这是一个基于瞬时无功功率理论的有源电力滤波器,是在matlab的simulink中搭建而成(This is an active power filter based on instantaneous reactive power theory, the structure which is in the simulink matlab)
    2012-03-29 08:18:11下载
    积分:1
  • speech_synthetic_coder2.m
    将原语音文件进行分析解码,用全极点模型,通过线性系统预测进行声音的合成和编码。(Original voice file for analysis by linear system predictive decoding, with the all-pole model, the sound synthesis and coding.)
    2013-02-11 08:40:38下载
    积分:1
  • csmaca
    MAC层CSMACA算法。基于matlab平台,是学习MAC层接入过程的好材料。(MAC layer CSMACA of algorithms. Based on the Matlab platform, is a good material to learn the MAC layer access process.)
    2012-08-18 09:36:57下载
    积分:1
  • dsp
    1.录制一段自己的语音信号,对录制的信号进行采样 画出采样后语音信号的时域波形和频谱图 给定滤波器的性能指标,采matlab设计数字滤波器,并画出滤波器的频率响应 然后用自己设计的滤波器对采集的信号进行滤波,画出滤波后信号的时域波形和频谱,并对滤波前后的信号进行对比,分析信号的变化 回放语音信号。2.(1. Recorded his voice for some signal, the signal is sampled on the record draw sampled speech signal time-domain waveform and frequency spectrum performance for a given filter, mining matlab digital filter design, and draw the filter frequency response then use their own filters designed to filter the collected signals, to draw the filtered time domain waveform and frequency spectrum, and comparing the signal before and after filtering, analysis of signal changes playback of audio signals. 2.)
    2011-01-10 15:18:30下载
    积分:1
  • MATLAB
    精通matlab程序,包括遗传算法以及粒子群优化算法程序(Proficient in matlab procedures, including genetic algorithm and particle swarm optimization algorithm program)
    2013-01-09 16:05:58下载
    积分:1
  • matlabshili
    matlab的一些实例,希望对大家有帮助(matlab some examples, we want to help)
    2011-05-17 07:58:40下载
    积分:1
  • newNetwork
    create figures in matlab
    2015-03-18 15:59:43下载
    积分:1
  • wavelet_omp
    说明:  压缩感知重构算法之正交匹配追踪(omp)及其matlab实现,小波,进行压缩感知,只含代码。(Orthogonal matching tracking (omp) of compressed sensing reconstruction algorithm and its matlab implementation, wavelet, compressed sensing, including only code.)
    2019-12-18 16:21:07下载
    积分:1
  • projection2
    故障信号的采样值,采样频率为100KHZ(Fault signal samples, the sampling frequency is 100KHZ)
    2011-06-30 11:46:32下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载