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
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
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
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
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
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 networ
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)