搜索资源列表
rnn
- 随机神经网络的源代码，对于研究神经网络的人来说，可能有一定的参考作用-random neural network source code for research neural network people, may have some reference
GRNN
- 本算法是matlab神经网络工具箱提供的函数建立了利用GRNN和RNN分别建立各个属性及属性组合与鸢尾花种类间的识别模型。-The algorithm is matlab neural network toolbox provides functions to establish the use of GRNN and RNN were established with various attributes and attribute combinations between species o
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
rnn-from-scratch-master
- RNN神经网络的应用和概念，RNN源代码和使用方法-You can find that the parameters `(W, U, V)` are shared in different time steps. And the output in each time step can be**softmax**. So you can use**cross entropy** loss as an error function and use some optimizing method (e
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 RNN trained neural network model
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
MATLAB-RNN-elman
- 关于elman RNN递归神经网络的MATLAB实现(implementation of elman RNN)
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.)
RNN网络代码
- 循环神经网络代码，简单实现深度学习的方式。初学者使用(Recurrent neural network code, a simple way to realize deep learning. Beginners use)
RNN
- 利用MATLAB实现循环神经网络的例子，便于大家更好的理解循环神经网络RNN的原理。(The example of recurrent neural network is implemented by MATLAB, so that you can have a better understanding of the principle of recurrent neural network RNN.)
RNN
- python实现的循环神经网络，带数据集，可运行(Python implemented recurrent neural network, with data sets, can be run)
min-char-rnn-master
- 循环神经网络RNN 实现字符串预测 本教程将以字符预测为例，说明如何利用RNN预测基于当前输入和隐藏状态的下一个字符。(Use recurrent neural network RNN to implement string prediction. This tutorial will use character prediction as example to show how to use RNN to predict next character based on current in
RNN
- 用matlab做的预测的例子，采用rnn循环神经网络实现，亲测可用(Using MATLAB to do the prediction example, using recurrent neural network RNN implementation, pro test available.)
RNN_matlab
- 用Matlab实现了最基本的RNN神经网络(Matlab to achieve the most basic RNN neural network)
LSTM-prediction
- 通过改进RNN神经网络经典的LSTM模型预测交通流。(prediction traffic flow)
Elman
- 利用MATLAB实现循环神经网络的例子，便于大家更好的理解循环神经网络RNN的原理。((The example of recurrent neural network is implemented by MATLAB, so that you can have a better understanding of the principle of recurrent neural network RNN.))
LSTM-Human-Activity-Recognition-master
- 与经典的方法相比，使用具有长时间记忆细胞的递归神经网络(RNN)不需要或几乎不需要特征工程。数据可以直接输入到神经网络中，神经网络就像一个黑匣子，可以正确地对问题进行建模。其他研究在活动识别数据集上可以使用大量的特征工程，这是一种与经典数据科学技术相结合的信号处理方法。这里的方法在数据预处理的数量方面非常简单(Compared with the classical methods, the recursive neural network (RNN) with long-term memory
ESNtools
- 一种新型的循环神经网络（RNN），在时序预测领域有广泛应用前景(A new type of recurrent neural network (RNN) has a wide application prospect in the field of time series prediction)