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writingMaster
- 实验室项目。识别用户签名和汉字草书，效果较好。基于卷积神经网络实现。框架是tensorflow。原创代码初次公开。(Laboratory project. The recognition of user signature and Chinese scr ipt is good. Based on convolution neural network implementation. The framework is tensorflow. Original code for the first
cnn
- matlab卷积神经网络cnn，用于手写字体识别或者其他都可以(matlab cnn For handwritten font recognition or anything else)
CNN_matlab
- 卷积神经网络（CNN）是一种深度学习方法，它可以对图像进行识别和特征分类等优点。(The convolution neural network (CNN) is a deep learning method which can identify and characterize the image.)
人脸识别
- 完整人脸识别程序和说明，该程序是中的人脸检测系统的克隆。 而神经网络，它是基于支持向量机（SVM）Machin(Complete face recognition program and descr iption)
单层神经网络矩阵改进
- 单层神经网络实现识别功能，简单实现三分类的方法(Realization of recognition function by single layer neural network)
MATLAB
- 在matlab平台上搭建BP神经网络对26个字母进行训练识别(BP neural network is built on MATLAB platform to train and identify 26 letters.)
dropout_and_minibatch
- 基于两层BP神经网络，加入dropout和softmax，输出层使用softmax，实现对手写字符库MNIST的识别，正确率达90%。(Based on the two level BP neural network, adding dropout and softmax, the output layer uses softmax to realize the recognition of handwritten character library MNIST, the accuracy ra
Hopfield
- 应用于数字识别的离散Hopfield神经网络的联想记忆(Associative memory of discrete Hopfield neural network applied to digit recognition)
基于Gabor小波变换和人工神经网络的人脸识别方法
- 基于Gabor小波变换和人工神经网络的人脸识别方法(Face recognition method based on Gabor wavelet transform and artificial neural network)
案例1
- BP神经网络实现识别，用BP实现分类代码(Recognition of BP neural network)
LBP算法实现人脸识别
- 基于matlab平台的LBP算法实现人脸识别。(Face recognition based on LBP algorithm based on MATLAB platform.)
dnn11
- 实现一个简单的深度神经网络，并实现了对猫的一个识别，(A simple deep neural network is realized and a recognition of the cat is realized.)
Untitled2
- BP神经网络基本原理概述：这种网络模型利用误差反向传播训练算法模型，能够很好地解决多层网络中隐含层神经元连接权值系数的学习问题，它的特点是信号前向传播、误差反向传播，简称BP（Back Propagation）神经网络。BP学习算法的基本原理是梯度最快下降法，即通过调整权值使网络总误差最小，在信号前向传播阶段，输入信号经输入层处理再经隐含层处理最后传向输出层处理；在误差反向传播阶段，将输出层输出的信号值与期望输出信号值比较得到误差，若误差较大则把误差信号传回隐含层直至输入层，在各层神经元中使用
matlab中文字符的识别代码
- 基于BP人工神经网络的数字字符识别及MATLAB实现。(Digital character recognition and MATLAB implementation based on BP artificial neural network.)
bishe
- 使用BP神经网络，对异步电机故障识别的一个简单小例子。(Using BP neural network, a simple example of fault recognition of asynchronous motor is presented.)
cnn人脸识别
- 用卷积神经网络做的人脸识别，准确率达到92.75%。(The accuracy of face recognition using convolution neural network is 92.75%.)
基于Tensorflow的CNN数字识别
- 本文实现了基于minist的手写数字识别，基于TensorFlow的python语言，程序有详细的注释，以及手把手教你怎么搭建CNN(This article implements the handwritten numeral recognition based on minist, the python language based on TensorFlow, the program has detailed annotations, and hands-on instructions o
network
- 卷积神经网络函数，用于数据预测，分类以及识别(Convolution neural network functions for data prediction, classification and identification)
RBF、GRNN和PNN神经网络案例
- 能够实现RBF,GRNN和PNN神经网络的案例，一个是RBF-近红外光谱汽油辛烷值预测，GRNN，PNN-鸢尾花种类识别。代码和数据均有，直接可以拿来使用。(These are cases of RBF, GRNN and PNN neural networks can be realized. One is RBF-NIR spectroscopy gasoline octane prediction, GRNN, PNN-Iris species identification. Both c
车牌字符识别
- 使用MATLAB语言实现简单的字符识别，使用神经网络算法，有效的识别车牌(Simple Character Recognition Using MATLAB Language)