搜索资源列表
LSTM.tar
- C-package of "Long Short-Term Memory" for Protein classification
rnnlib.tar
- RNNLIB可以用来做语音识别、手写字符识别。由大牛Alex Graves编写，专门做RNN、LSTM的研究。他的主页是http://www.cs.toronto.edu/~graves/-RNNLIB is a recurrent neural network library for sequence labelling problems, such as speech and handwriting recognition.
CWS_LSTM-master
- 一款基于LSTM的中文分词工具包！很支持！-A LSTM based Chinese word Kit! Very supportive!
DL4J_LSTM
- deeplearning4j依赖下，Java实现神经网络LSTM算法，DailyData.class实现数据结构，StockDataIterator.class进行数据预处理-deeplearning4j dependent under, Java LSTM realize neural network algorithm, DailyData.class data structure, StockDataIterator.class data preprocessing
char-rnn-master
- 此代碼實現多層遞歸神經網絡（RNN，LSTM和GRU）從字符級語言模型訓練/採樣。換句話說，模型採用一個文本文件作為輸入和火車一個遞歸神經網絡的學習來預測下一個字符的序列。-This code implements multi-layer Recurrent Neural Network (RNN, LSTM, and GRU) for training/sampling character-level language models. In other words the model tak
ChineseNER-master
- Pyhton实现biLSTM+CRF算法,应用于中文命名实体识别(Pyhton implementation of biLSTM+CRF algorithm, applied to Chinese named entity recognition)
LSTM
- 神经网络 matlab 的一个样例；Neural network matlab a sample(Neural network matlab a sample)
deeplearningbook-chinese-0.5-beta
- 卷积神经网络、循环神经网络、递归神经网络、深度信念网络、深度堆叠网络、LSTM长短时记忆(Convolution neural network, circulating neural network, recursive neural network, deep belief network, deep stack network, LSTM length memory)
RerankNER-master
- 这份代码是基于深度神经网络的英文命名实体识别，主要算法是LSTM+CRF(This code is based on deep neural network English named entity recognition LSTM+CRF)
RNN_2015
- RNN 论文阅读，帮助理解RNN的实现，以及应用。涉及lstm等rnn网络(RNN papers; including lstm)
keras-master (1)
- Keras 示例代码，包括CNN，LSTM，CNN-LSTM等，非常全面。(Keras sample code, including CNN, LSTM, CNN-LSTM, and so on, is very comprehensive.)
Seq2Seq
- 自然语言处理中 Seq2Seq LSTM搭建示例(This is the code of Seq2Seq model in NLP,using LSTM neural network)
time
- 时序预测，预测下一个月乘客数量。采用lstm神经网络来预测(Time series prediction)
VMD+BNN
- 长短时记忆网络，风速预测，LSTM,神经网络(WIND PREDICTION,lstm,long and short)
LSTM
- 金融数据使用案例 在Matlab 中把文件夹加入工作路径，在命令行中输入 RunLstm(numdely,cell_num，cost_gate)即可。其中： numdely 是选择预测点的数目 cell_num 是隐含层的结点数目 cost_gate是误差的阈值（此处一般取0.25）(Financial data use cases Add the folder to the working path in Matlab, and enter RunLstm(numdely,cell_nu
LSTMtest
- LSTM时间预测可以有,真的不错，很方便，可以改(LSTM time prediction you need)
stock_predict_with_LSTM-master
- 用于时间序列分析的，股票预测实例，使用LSTM算法，预测效果较好(The LSTM algorithm is used in the case of stock forecasting for time series analysis)
tensorflow-convlstm-cell-master
- Tensorflow实现LSTM，Python代码用命令行安装setup文件(Tensorflow implements LSTM, Python code installs setup file with command line)
hybrid-ARIMA-LSTM-model-master
- 使用LSTM-ARIMA模型进行混合预测，ARIMA做线性部分的预测，LSTM做非线性部分(LSTM-ARIMA model is used for mixed prediction, ARIMA for linear prediction and LSTM for nonlinear prediction)
GA-BP; BP神经网络各种案例，BSO天牛群，CEEMD分解，EMD工具箱，PSO优化，rBAS,LSTM各种实际案例
- GA-BP; BP神经网络各种案例，BSO天牛群，CEEMD分解，EMD工具箱，PSO优化，rBAS,LSTM各种实际案例，代码基于matlab和python