文件名称:RNN_MATLAB-master
介绍说明－－下载内容均来自于网络，请自行研究使用
一种深度学习框架的matlab代码可用于训练时间序列对象(Can be used to train time series objects)
相关搜索： RNN
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| RNN_MATLAB-master | 0 | 2016-12-27 |
| RNN_MATLAB-master\.gitignore | 3 | 2016-12-27 |
| RNN_MATLAB-master\Data | 0 | 2016-12-27 |
| RNN_MATLAB-master\Data\Text | 0 | 2016-12-27 |
| RNN_MATLAB-master\Data\Text\dictionary | 195377 | 2016-12-27 |
| RNN_MATLAB-master\Data\Text\test.txt | 15674341 | 2016-12-27 |
| RNN_MATLAB-master\Data\Text\test_small.txt | 3595 | 2016-12-27 |
| RNN_MATLAB-master\Data\cmnt.txt | 1026884 | 2016-12-27 |
| RNN_MATLAB-master\Data\cmnt_test.txt | 3368 | 2016-12-27 |
| RNN_MATLAB-master\Data\post.txt | 1519128 | 2016-12-27 |
| RNN_MATLAB-master\Data\post_test.txt | 4858 | 2016-12-27 |
| RNN_MATLAB-master\Data\preprocess.py | 1672 | 2016-12-27 |
| RNN_MATLAB-master\Data\textData.m | 1096 | 2016-12-27 |
| RNN_MATLAB-master\Data\used | 0 | 2016-12-27 |
| RNN_MATLAB-master\Data\used\cmnt_index.txt | 3048 | 2016-12-27 |
| RNN_MATLAB-master\Data\used\dictionary.txt | 2881 | 2016-12-27 |
| RNN_MATLAB-master\Data\used\post_index.txt | 4574 | 2016-12-27 |
| RNN_MATLAB-master\Layers | 0 | 2016-12-27 |
| RNN_MATLAB-master\Layers\ConcatLayer.m | 2109 | 2016-12-27 |
| RNN_MATLAB-master\Layers\Data.m | 5810 | 2016-12-27 |
| RNN_MATLAB-master\Layers\EmbeddingLayer.m | 2922 | 2016-12-27 |
| RNN_MATLAB-master\Layers\InputLayer.m | 4112 | 2016-12-27 |
| RNN_MATLAB-master\Layers\LstmLayer.m | 54460 | 2016-12-27 |
| RNN_MATLAB-master\Layers\OperateLayer.m | 2991 | 2016-12-27 |
| RNN_MATLAB-master\Layers\RecurrentLayer.m | 13650 | 2016-12-27 |
| RNN_MATLAB-master\Layers\SGD.m | 216 | 2016-12-27 |
| RNN_MATLAB-master\Layers\SelectLayer.m | 1456 | 2016-12-27 |
| RNN_MATLAB-master\Layers\SoftmaxLayer.m | 9083 | 2016-12-27 |
| RNN_MATLAB-master\Layers\setup.m | 83 | 2016-12-27 |
| RNN_MATLAB-master\Layers\sigmoid.m | 53 | 2016-12-27 |
| RNN_MATLAB-master\Layers\sigmoidPrime.m | 57 | 2016-12-27 |
| RNN_MATLAB-master\Layers\tanhPrime.m | 56 | 2016-12-27 |
| RNN_MATLAB-master\Layers\test_components.m | 1443 | 2016-12-27 |
| RNN_MATLAB-master\Layers\test_gradient_components.m | 902 | 2016-12-27 |
| RNN_MATLAB-master\Models | 0 | 2016-12-27 |
| RNN_MATLAB-master\Models\encoder_decoder.mat | 24927661 | 2016-12-27 |
| RNN_MATLAB-master\Models\setup.m | 85 | 2016-12-27 |
| RNN_MATLAB-master\Models\test_LSTM_autoencode.m | 1418 | 2016-12-27 |
| RNN_MATLAB-master\Models\test_RNN_autoencode.m | 1301 | 2016-12-27 |
| RNN_MATLAB-master\Models\test_encoder_decoder.m | 5032 | 2016-12-27 |
| RNN_MATLAB-master\Models\test_video_seq_classification.m | 1906 | 2016-12-27 |
| RNN_MATLAB-master\Models\train_encoder_decoder.m | 5007 | 2016-12-27 |
| RNN_MATLAB-master\Models\video_sample.mat | 22056688 | 2016-12-27 |
| RNN_MATLAB-master\README.md | 271 | 2016-12-27 |