搜索资源列表
LSTM-MATLAB-master
- 简单实现基本的lstm功能，可以运行，如有不足还请指正(Simple implementation of the basic LSTM function, you can run, if there is insufficient, please correct)
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)
LSTM
- 用于运行LSTM的预测代码，例子是国际航班客流量。使用语言为python.(The forecast code used to run LSTM is an example of international flight traffic. The language used is python.)
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)
nn_code
- 使用Python实现的一些简单神经网络算法，实现的神经网络包括BP,CNN,RNN,LSTM等，主要是理解这些神经网络的算法原理，并附有mnist数字识别例子。(neural network,include BP,CNN,RNN,LSTM.)
LSTM代码
- 包含对时间序列进行预测的LSTM代码，有注释(The LSTM code that contains the prediction of the time series is annotated)
LSTM
- 用LSTM实现多维时间序列的预测，可以作为参考代码使用(The realization of multidimensional time series prediction with LSTM)
DeepLearnToolbox-master
- 深度学习MATLAB的工具箱，包括CNN、RNN、CAE、LSTM等复杂的神经网络的代码。(Deep learning MATLAB toolbox, including CNN, RNN, CAE, LSTM and other complex neural network code.)
lstm
- lstm实例+代码，包含详细注释，能运行，简单的房产价格预测实例(Lstm u5B9E u4F9 u4E09 u4EF3 u643 U6D4B u5B9E u4F8B)
LSTM-for-time-series-prediction
- 本代码是使用lstm进行时间序列预测，能够很清晰的说明如何使用lstm(Time series prediction using LSTM)
LSTM
- matlab代码，新进的emd分解工具，比小波效果好(Matlab code, the new EMD decomposition tool, is better than wavelet)
LSTM时间序列预测
- 本代码采用python语言编写的的一个LSTM时间序列来预测销量(This code uses a LSTM time series written in Python language to predict sales)
LSTM机器翻译
- 一个简单的机器翻译模型。使用LSTM训练模型。代码内部包含训练数据。(A simple machine translation model. Train the model using LSTM. The code contains training data internally.)
LSTM程序
- 基于LSTM的时间序列预测-原理-python代码(Prediction of time series based on LSTM - principles -python code)
stock_predict_with_LSTM-master
- 深度学习，LSTM股票预测，python代码(Deep Learning, LSTM Stock Forecasting, Pthon Code)
LSTM
- lstm时间预测matlab代码。程序说明：DATA.mat 是一行时序值， numdely 是用前numdely个点预测当前点，cell_num是隐含层的数目，cost_gate 是误差的阈值。直接在命令行输入RunLstm(numdely,cell_num,cost_gate)即可(This is the matlab code of LSTM time prediction. Program descr iption: data
LSTM-MATLAB-master
- lstm的matlab代码，里面有实际的例子可以参考(LSTM MATLAB code, there are practical examples to look at)
LSTM
- 属于lstm的matlab给出的示例，使用代码进行自我学习非常好用(Belongs to the LSTM matlab example, using code for self-learning is very easy to use)
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)