CNN_LSTM_language_model
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：33374KB
下载次数：8
上传日期：2023-02-24 18:10:25
上 传 者：
sh-1993
说明： 从零开始实现用于语言模型的CNN-LSTM网络。有用的特征是从CNN的谎言中提取的...
(Implementation from scratch of a CNN-LSTM network for language models. Useful features are extracted from the CNN layer below and then feed up to the LSTM layer which forms a sequential context for the prediction.)
文件列表:
CNN_LSTM_language_model (0, 2023-02-25)
CNN_LSTM_language_model\Copy_of_lstm_bp.m (2175, 2023-02-25)
CNN_LSTM_language_model\PrepareData_Char_LSTM.m (700, 2023-02-25)
CNN_LSTM_language_model\Presentation1.pptx (656393, 2023-02-25)
CNN_LSTM_language_model\adam.m (1850, 2023-02-25)
CNN_LSTM_language_model\average_gradients.m (647, 2023-02-25)
CNN_LSTM_language_model\backprop.m (373, 2023-02-25)
CNN_LSTM_language_model\cnnConvolve.m (3380, 2023-02-25)
CNN_LSTM_language_model\cnn_lstm_bp.m (3488, 2023-02-25)
CNN_LSTM_language_model\cnn_lstm_ff.m (2758, 2023-02-25)
CNN_LSTM_language_model\cnnnet_init.m (498, 2023-02-25)
CNN_LSTM_language_model\concat_data.m (399, 2023-02-25)
CNN_LSTM_language_model\dict.txt (147, 2023-02-25)
CNN_LSTM_language_model\error_multiclass.m (556, 2023-02-25)
CNN_LSTM_language_model\example.mat (16298820, 2023-02-25)
CNN_LSTM_language_model\gate_bp.m (225, 2023-02-25)
CNN_LSTM_language_model\gate_ff.m (204, 2023-02-25)
CNN_LSTM_language_model\hidden_bp.m (138, 2023-02-25)
CNN_LSTM_language_model\input_bp.m (260, 2023-02-25)
CNN_LSTM_language_model\input_ff.m (246, 2023-02-25)
CNN_LSTM_language_model\main_cnn_lstm.m (1963, 2023-02-25)
CNN_LSTM_language_model\net_bp.m (3533, 2023-02-25)
CNN_LSTM_language_model\net_ff.m (3506, 2023-02-25)
CNN_LSTM_language_model\net_init_char_lstm.m (697, 2023-02-25)
CNN_LSTM_language_model\pred.mat (3697, 2023-02-25)
CNN_LSTM_language_model\presentation.mat (16242733, 2023-02-25)
CNN_LSTM_language_model\rotate_data.m (940, 2023-02-25)
CNN_LSTM_language_model\sigmoid_ln.m (104, 2023-02-25)
CNN_LSTM_language_model\soft_bp.m (384, 2023-02-25)
CNN_LSTM_language_model\soft_ff.m (406, 2023-02-25)
CNN_LSTM_language_model\softloglossbp.m (305, 2023-02-25)
CNN_LSTM_language_model\softmaxlogloss.m (605, 2023-02-25)
CNN_LSTM_language_model\tanh_ff.m (198, 2023-02-25)
CNN_LSTM_language_model\tanh_ln.m (78, 2023-02-25)
CNN_LSTM_language_model\test.m (730, 2023-02-25)
CNN_LSTM_language_model\test_lstm.m (1493, 2023-02-25)
CNN_LSTM_language_model\test_x.txt (1118891, 2023-02-25)
CNN_LSTM_language_model\test_y.txt (1118891, 2023-02-25)
CNN_LSTM_language_model\train_cnn_lstm.m (2294, 2023-02-25)
... ...
# CNN_LSTM_language_model
Implementation from scratch of a CNN-LSTM network for language models. Useful features are extracted from the CNN layer below and then feed up to the LSTM layer which forms a sequential context for the prediction.
To run the model, execute main_cnn_lstm.m, and feel free to tune the hyper parameters to see how the performance varies accordingly.
近期下载者：
相关文件：
收藏者：