搜索资源列表
testall
- 有关matcovnet中的lenet网络的准确度测试代码,以及自己建立的测试集图片测试与手写数字测试的GUI界面(About the accuracy test code of lenet network in matcovnet, and the GUI interface of the test set, picture test and handwritten numeral test set up by myself)
kNN
- KNN算法改进约会网站配对效果;KNN实现手写数字识别(KNN algorithm to improve the matching effect of dating sites; KNN handwritten numeral recognition)
network2
- 初学机器学习,第一步是做一个简单的手写数字识别,我选用的是MNIST数据集(用其他数据集也可以,原理都差不多),算法是KNN(下载库直接调用函数,算法的具体实现没有过多关心)。在网上也看到过MNIST数据集的Python代码,但是感觉有些复杂,作为初学者见到那么多代码就头大……这里分享一下我的代码,虽然并不完善,但是可以为其他初学者提供一点简单的思路吧。(Learning machine learning, the first step is to do a simple handwritten
main.py
- 人工神经网络入门 artificial neural network 使用sklearn 包实现分类图片,可用于手写数字识别(artificial neural network Using sklearn packet to achieve classification, can be used for handwritten numeral recognition)
MNIST
- 简单的手写数字识别,在深度神经网络中的简单尝试,对于初学者有个很好的理解(Simple handwritten numeral recognition, in the depth of neural network simple attempt, for beginners have a good understanding)
InfoGAN-master
- 使用matlab实现infogan,使用的是手写数字集。(Using MATLAB to implement infogan, the handwritten numeral set is used.)
手写数字识别
- 一个练习机器学习的算法,解决手写数字识别的算法(An algorithm that exercises machine learning to solve the handwritten numeral recognition algorithm)
DBN的matlab代码
- 这是一个关于用数字识别训练一个手写数字识别的深度神经网络事例(This is a deep neural network example that uses digital recognition to train a handwritten numeral recognition)
mnist1
- 训练手写数字识别算法,正确率达到91.6%(Training handwritten numeral recognition)
bayes和神经网络的手写体数字识别程序(matlab)
- bayes和神经网络的手写体数字识别程序(matlab)(bayes and neural network handwritten numeral recognition program (matlab))
BPnetwork_code
- 手写体数字识别是模式识别中一个非常重要和活跃的研究领域,数字识别也不是一项孤立的技术,它所涉及的问题是模式识别的其他领域都无法回避的;应用上,作为一种信息处理手段,字符识别有广阔的应用背景和巨大的市场需求。因此,对数字识别的研究具有理论和应用的双重意义。(Handwritten numeral recognition is a very important and active research field in pattern recognition, digital recognition
chapter19
- 在MATLAB平台上的基于svm的手写数字体识别(Handwritten numeral recognition based on svm)
python-dbn-master
- 运用python语言,基于dbn的手写数字体识别(Handwritten numeral recognition based on dbn using python language)
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.)
mnist
- 利用keras实现手写数字识别,使用CNN模型 全连接层+两个卷积层,最后Softmax分类器,识别率超过96%(Using keras to realize handwritten numeral recognition baesd on CNN model. One whole connection layer + two convolution layers, and a Softmax classifier. The recognition accuracy is over 96%
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.)
source
- 手写数字的识别的matlab代码,可以当做是一种练习(Handwritten numeral recognition matlab code, can be regarded as an exercise.)
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
R语言 svm 手写数字识别
- 用R语言写的手写数字识别算法(svm 方法)(Handwritten numeral recognition algorithm written in R language (SVM method))