搜索资源列表
LSTM_learn-master
- 采用LSTM算法用python语言实现的信号时间序列预测，可预测信号的占用度(The LSTM algorithm is used to predict the signal time series in python language)
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.)
LSTM做文本情感分类
- PYTHON 爬虫 LSTM做文本情感分类源码,简单分析摆渡情感新闻.
LSTM
- python实现的LSTM, 可以放心学习，有兴趣研究LSTM编码的同学，可收藏(Python implementation of the LSTM, can rest assured of learning, interested in the study of LSTM code of the students, can be collected)
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-oreilly-master
- 时间序列预测，股票走势预测，自然语言处理等等(Time Series Prediction)
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)
MyPro
- LSTM RNN python machine learning
3_14
- tensorflow 学习的一些例子 有cnn的 有rnn的 lstm word2vec udacity学院 的 等(Some examples of tensorflow learning are CNN's LSTM word2vec with RNN Udacity College)
lstm
- 机器学习中的lstm，希望对大家有用，谢谢啦(Lstm in machine learning, hope to be useful to everyone, thank you)
LSTM-morevalible
- LSTM 多变量预测，天气等影戏因素，可以执行，完全可以执行，思想也很简单(LSTM multivariable prediction)
data
- 数据单一分类，svm和lstm两种，可以简单用于测试(data classification)
deecamp
- 利用LSTM进行股票预测，采用python编程(forecast the stock price with LSTM)
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)
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)