搜索资源列表
mnist1
- 训练手写数字识别算法，正确率达到91.6%(Training handwritten numeral recognition)
14.SVM(代码)
- 用SVM在python平台实现手写数字的识别(using the algorithm of SVM to recognition of handwritten numerals on python)
cnn
- 用CNN识别手写数字集，误差率为1.07%(The handwritten numeric set is identified with CNN, the error rate is 1.07%)
Classify handwriten digits
- python下CNN手写数字识别CNN Classify handwriten digits(CNN Classify handwriten digits)
simplecharrec(III)-update
- 基于PCA和BP网络的手写数字字符的识别(Recognition of handwritten numeric characters based on PCA and BP networks)
chinese_test
- 手写汉字识别，数据集训练，MNIST，Deep Convolutional Network识别手写汉字(Handwritten Chinese character recognition, data set training, MNIST, Deep Convolutional Network)
LeNet
- tensorflow实现手写体识别（包含mnist数据集）(Handwritten recognition by tensorflow)
matlab
- 基于BP神经网络手写数字识别，main函数是主函数，识别的成功率在86%左右。(Based on the BP Neural Network handwritten digital recognition, the main function is the main function, and the recognition success rate is about 86%.)
Hand_num
- 基于神经网络及GUI触摸板的手写数字识别，基本的机器学习例子(Handwritten numerals recognition based on neural network and GUI touch board, basic machine learning examples)
xlrd-1.1.0.tar
- 手写字体识别数据专用集，可以用来测试神经网络，深度血虚(Handwritten font recognition data set)
程序
- 模式识别课程，相关实验的手写字符识别代码。(Pattern recognition course, handwritten character recognition in related experiments)
my_cnn.tar
- 用卷积神经网络实现手写数字识别，数据集为mnist数据集(Convolution neural network is used to realize handwritten numeral recognition. Data set is MNIST data set.)
基于SVM的手写字体识别
- 基于SVM的手写字体识别，含有源程序和数据，可直接运行(SVM Based Handwriting Recognition)
tensorboard
- tensorflow手写数字识别，提高识别的准确率(Tensorflow handwritten numeral recognition, improve the accuracy of recognition.)
sc
- 手写数字签名识别源代码使用matlab编写(Handwritten digital signature recognition source code, written in MATLAB.)
基于MATLAB的文字识别
- 基于matlab的手写字体识别程序，并对结果进行保存(Matlab based handwritten font recognition program, and save the results.)
simpleCNN
- 在anaconda+opencv+tensorflow平台下，利用简单的CNN卷积神经网络进行手写字符识别(Under the anaconda+opencv+tensorflow platform, we use simple CNN convolution neural network to handwritten character recognition.)
cnn
- 手写数字识别的简单实现，CNN入门到深入，三个版本供读者使用。(Simple Implementation of Handwritten Number Recognition, Getting Started with CNN)
手写数字识别
- 通过训练图片中数字0~9，跟着通过手写输入识别出所写数字的类别。(By training the number of 0~9 in the picture, we can identify the category of the written number followed by handwritten input.)
基于libsvm的手写字体识别
- 对于0到9这十个手写体数字进行识别，针对不同字形的手写体数字进行预处理(For 0 to 9, the handwritten Numbers are identified, and the handwritten Numbers of different glyphs are pretreated.)