搜索资源列表
shouxie2
- 图像处理，手写数字识别，GUI界面内自写数字，可以用来学习。-Image processing, digital handwriting recognition, digital write within the GUI interface, can be used to learn.
shouxie
- 手写数字识别，图像处理，内涵数据库，可自行另外添加数据库。适合初学者使用，正确率较低。-Handwritten numeral recognition, image processing, content , you can add their own additional . For beginners, a lower accuracy.
cnn
- CNN网络关于手写数字识别的全套程序，可以自行调节迭代参数，得到自己想要的结果。-The simulation about the CNN experiment in Matlab.
CNN
- 手写数字识别 lenet 5 CNN的代码，对于初学机器学习者非常有帮助,可以运行。-Handwritten numeral recognition lenet 5 CNN code, for beginners machine learners very helpful, you can run.
kNN
- 使用k-近邻算法改进约会网站的配对算法和使用k-近邻算法的手写数字识别系统-Use k- nearest neighbor matching algorithm to improve the dating sites and use of k- nearest neighbor handwritten numeral recognition system
GetFeature
- 手写数字识别获取特征，并且获取特征后可以进行用最小错误率贝叶斯识别-To obtain the characteristics of handwritten numeral recognition，And get the feature can be carried out with the minimum error rate of Bayesian identification
Desktop
- 手写数字识别对已有图像预处理，二值化，放大尺寸-Handwritten Number Recognition Pre-processing, binarizing, and enlarging the size of an existing image
GMM
- gmm_em算法，可用于手写数字识别，供初学者参考。-Gmm_em algorithm and can be used for handwritten numeral recognition, for beginners reference.
1
- 本人的课程设计，题目是基于视频的手写数字识别，大家可以参考参考，采用opencv2.4.8进行开发。-curriculum design, the title is based on the handwritten digital video recognition, we can refer to the reference, the use of opencv2.4.8 for development.
handwritten
- 一种基于RBF、BP神经网络手写数字识别的方法，里面包含GUI界面，方便理解，代码注释详细-One kind of RBF, BP neural network handwritten numeral recognition based method, which contains GUI interface, easy to understand, detailed code comments
hand-written-numeral-recognition
- 手写数字识别，连续手写数字的识别，BP神经网络-hand-written numeral recognition
BPshouxieshuzishibie
- 基于BP神经网络的手写数字识别，总共有三个程序，分别是建立样本，进行训练，最后是检验测试-Based on the BP neural network handwritten numeral recognition, a total of three procedures, namely, the establishment of samples, training, and finally test
number-recognitionP
- 基于matlab利用BP神经网络开发的手写数字识别，正负样本为分别为1000张，手写数字是minist库-Based on BP neural network matlab developed handwritten numeral recognition, positive and negative samples were 1000, handwritten digital library is minist
CNN
- CNN learning 手写数字识别 神经网络-CNN learning handwritten numeral recognition neural network
AlexNet
- 基于AlexNet模型的手写数字识别，用Tensorflow实现，可直接运行，准确率达到98 以上-Model based AlexNet handwritten digit recognition, implemented Tensorflow, can be run directly, the accuracy rate of more than 98
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
matlab1
- matlab实现的手写数字识别，准确率高，给力！-Matlab implementation of handwritten numeral recognition, high accuracy, awesome!
11
- 手写体识别_模板匹配识别方法,通过matlab实现基于神经网络的手写数字识别-Handwriting recognition _ template matching method, the matlab implementation of handwritten digit recognition based on Neural Network
NLP
- Tensorflow框架下的手写数字识别-In recognition of handwritten numerals frame Tensorflow