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.)

改代码为音频降噪功能，是基于RNN的音频降噪算法。其中采用的是 GRU/LSTM 模型，支持wav格式。(The modified code is an audio denoising function, which is based on RNN's audio denoising algorithm. The GRU/LSTM model is adopted to support the wav format.)

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.mat is a row of sequential va

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)