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RNN_MATLAB-master

于 2021-04-07 发布 文件大小:52849KB
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下载积分: 1 下载次数: 14
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代码说明：

  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)

文件列表：

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

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