搜索资源列表
CG_MNIST
- 只是一个关于用共轭梯度下降算法处理数据的程序，本程序处理的数据对象为MINST,该程序在线性搜索上有很好的效果-Only one on the use of conjugate gradient descent algorithm data processing procedures, the procedures for processing the data object is MINST, linear search for the program have a good effect o
NumberRecognize
- 根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。-According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the r
YaleB1-17
- yaleb的图像数据库，非常全面，包络各种光照的人脸照片，共有17类-MINST handwritten font library, including the introduction of the library and read the function, it is worth learning from
CNN
- 用卷积神经网络实现的手写数字识别（minst）,可直接运行，识别率较高。用Tensorflow实现-Handwritten digital recognition (minst) with convolution neural network can be run directly and the recognition rate is high. Implemented with Tensorflow
ann
- 用简单神经网络(CNN)实现的手写数字识别(minst),可直接运行，用的是Tensorflow框架，通过该例程可以掌握Tensorflow基本用法-With a simple neural network (CNN) to achieve the handwritten numeral recognition (minst), can be run directly, using the Tensorflow framework, through the routine can master
XNOR-NET
- 實作32bit的XNOR-NET，以MINST訓練的準確度可達到98.17%
SVMminstRecognition
- 在OpenCV环境下使用SVM算法实现minst手写0-9识别(Using SVM algorithm to realize MINST handwritten 0-9 recognition in OpenCV environment)
readMNIST
- minst手写体数据库图像标签读取 用于训练神经网络(minst handwritten database image label read)
mnist_loader
- 是一个minst数据集的读取脚本。运行此脚本可以自动读取mnist数据集(mnist_loader is a loader of mnist dataset!)
卷积神经网络 - 副本
- 对LeNet-5的matlab实现，识别MINST手写数字集，压缩文件包含程序文件和训练、测试图片文件，程序可直接运行（版本matlab R2008a）(For the matlab implementation of LeNet-5, the MINST handwritten numeric set is identified. The uploaded file contains the program file and the training and test file. The pr
MINST_DEMO
- 根据概率模型实现的QDF,LDF分类算法，有minst数据集做demo(QDF, LDF classification algorithm based on probability model, MINST data set to do demo)
cnn
- vs的cnn程序，没有调用任何库。有两个卷积层，用minst手写库识别(Vs's CNN program, no library is called. There are two coiling layers that are identified by a MINST handwritten Library)
CNN_SAR
- MNIST手写体识别，编程语言为matlab(MNIST handwriting recognition)
HW7-1
- 自编码器显示minst数据集中重构误差最大的十幅图片(Self-encoder shows ten images with the largest reconstruction error in the minst data set)
字符识别孪生网络
- 运用孪生网络技术识别minst手写字符集并计算准确率(Identifying Minst Handwritten Character Set and Calculating Accuracy Using Twin Network Technology)