搜索资源列表
JRNN-master
- java语音编写的lstm学习,可以实现文本学习(Java speech writing LSTM learning, can achieve text learning)
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.)
main
- NLP-NER的一个简单Demo。模型基于LSTM-CRF(A Demon for Chinese-NER from https://github.com/zjy-ucas/ChineseNER)
data
- 训练NER的语料文件,已全文标注,四个字段(Training NER's corpus file, full text annotation, four fields)
LSTMshili
- 做预测,预测股票趋势的一个小例子,可运行,比较简单明了,容易理解,适合初学者(A small example of forecasting, predicting stock trends, running, easy to understand, easy to understand, suitable for beginners)
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)
Test_LSTM
- 利用C++语言实现了长短时记忆网络,复杂性较高。(Using C++ language to achieve long and short time memory network, the complexity is relatively high.)
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-text-classfication
- 通过机器学习中的长短时记忆单元实现对文本进行分类的算法。(The long short term memory unit realizes the algorithm of classifying text by machine learning.)
TradingOfArtificialIntelligence-master
- 学习利用Python实现量化交易。 LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data.(LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stoc
zh-NER-TF-master
- 基于bi-lstm-crf的中文命名实体识别(bi-lstm-crf NER of chinese)
poetry_generator_Keras-master
- 使用LSTM算法写的唐诗生成,编程语言使用的Python。(Using LSTM algorithm to generate Tang poetry, the Python used in programming languages.)
LSTM_main
- LSTM(Long Short-Term Memory)是长短期记忆网络,是一种时间递归神经网络,适合于处理和预测时间序列中间隔和延迟相对较长的重要事件。(LSTM (Long Short-Term Memory) is a long and short term memory network. It is a kind of time recurrent neural network, which is suitable for dealing with and predicting impo
convLSTM_minimum-master
- 卷积长短期机器模型用于预测空间上与时间上的值,是基于LSTM模型的改进算法(Convolutional long-term and short-term machine model is an improved algorithm based on LSTM model for predicting spatial and temporal values.)
rnnoise
- 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.)
simpleLSTM
- 该程序是一段简单 的LSTM程序,是基于matlab的,容易理解和学习(This program is a simple LSTM program based on matlab, and very easy to understand and learn.)
Matching
- 数字摄影测量中的最小二乘匹配算法,带示例图像(Feature points matching 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)
time-series-forecasting-keras-master
- 基于ARIMA模型和LSTM模型,提出一种高性能得时间序列预测算法(Based on ARIMA model and LSTM model, a high performance time series prediction algorithm is proposed.)
rnn
- 作为刚开始研究RNN 的小白,可以看RNN和LSTM的matlab程序,本人刚开始学习 ,把找到的资源分享给大家。(As a novice who just started researching RNN, you can see the matlab program of RNN and LSTM. I just started to learn and share the resources I found.)