搜索资源列表
RECURRENT-ANN-(16)
- RECCURENT NEURAL NETWORK R-RECCURENT NEURAL NETWORK RNN
FNN
- 我在这里有一个基于matlab的RNN递归网络源代码，希望和大家一起分享-I have a Matlab-based RNN recursive network source code, I hope to share with everyone
Pattern-recognition--using-S-Transform-and
- Pattern recognition using S Transform Detection and classification of power quality disturbances ST and R-Pattern recognition using S Transform Detection and classification of power quality disturbances ST and RNN
rnn-esn
- 基于神经网络的负荷预测，神经网络算法程序。-Based on neural network load forecasting procedures，Neural network algorithm procedures
hochreiter.lstm-(1)
- LSTM-RNN是一种新颖的递归神经网络，避免了传统RNN的梯度消失问题，还可以用于时序分析中上下文信息的提取。-LSTM-RNN is a novel recurrent neural network, to avoid the traditional gradient disappears RNN problem, can also be used in the context of timing analysis to extra
RNN
- Recurrent Neural Network
Finding_structure_in_time
- 采用RNN的模型进行时间序列分析，对于RNN感兴趣的同学很有帮助-using recurrent neural network to solve time series analysis problem.
rnn_review
- RNN回顾的论文，对于想了解RNN历史以及进展的同学有很大的帮助-RNN review paper, for that want to understand the history and current development of rnn.
TrainRNN
- 在纸病检测中，利用RNN建立检测模型，进行纸病的检测。-In the paper disease detection, using RNN establish detection model for testing the paper' s disease.
rnnsim
- RNN stimulate ：recurrent neural network simulation： training with SGD-RNN implement ： recurrent neural network simulation by Python ：training with SGD
qg_classify
- RNN实现情感分类,深度学习方法-RNN achieve sentiment classification, depth of learning
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.
mnist_irnn
- 基于keras的python的循环神经网络rnn，对数据库minis进行的分类。希望大家喜欢-Based keras the python loop neural network rnn, minis conduct classification. I hope you like
CWS_GatedRNN-master
- RNN深度学习的一款中文分词的工具，很支持大家参考的-A Chinese word learning tool RNN depth, very supportive of reference
paper
- 后面几篇是关于神经网络RNN以及实体识别相关的影响较大的文献，前面一个是使用keras平台搭建RNN神经网络模型时训练模型写的代码- Behind several neural network RNN entity recognition and greater impact on the relevant literature, in front of a platform built using keras when RN
SVM-RNN
- SVM神经网络的数据分类预测-葡萄酒种类识别- Data classification and prediction of SVM neural network
Hopfield-RNN
- 离散Hopfield神经网络的分类——高校科研能力评价- Classification of discrete Hopfield neural network uation of scientific research ability in Colleges and Universities
Hopfield-RNN-TSP
- 连续Hopfield神经网络的优化-旅行商问题优化计算- Optimization of continuous Hopfield neural network- traveling salesman problem optimization calculation
GOTURN-master
- 跟踪速度达到100FPS的跟踪器，基于RNN循环神经网络。-Tracking speed up to 100FPS tracker based on RNN recurrent neural network.
RNN
- 在MATLAB环境下利用递归神经网络计算八位二进制加法-Using the recurrent neural network to compute the eight- bit binary addition