搜索资源列表
数字识别
- python的keras调用theano创建cnn识别minist手写数字(use keras of python to create cnn to recognize digit wrote by hand)
BP神经网络手写数字识别
- 使用bp神经网络算法识别手写阿拉伯数字图像,三层的误差反馈神经网络,可输出准确率,数据集为60000条数据,每条数据是一张28*28的图片(The BP neural network algorithm is used to recognize handwritten Arabia digital images, and the error feedback neural network of three layers can output the accuracy rate. The data
手写数字识别系统
- 基于神经网络识别的手写数字识别系统,有gui界面(Handwritten digital recognition system based on neural network recognition)
CNN手写识别
- 基于Matlab的,用于识别手写的图片里面的内容(Based on Matlab, used to identify the contents of a handwritten picture)
基于卷积神经网络的手写汉字识别
- 基于卷积神经网络的手写汉字识别_matlab版本_可以识别509类手写汉字(Based on the _ handwritten Chinese characters recognition _matlab version convolutional neural network can identify 509 kinds of handwritten Chinese characters)
基于机器学习的手写数字识别
- 基于Python机器学习的手写数字识别 基于Python机器学习的手写数字识别(Handwritten digit recognition based on Python machine learning Handwritten digit recognition based on Python machine learning)
基于BP神经网络的手写数字识别
- 这是一份基于BP神经网络的手写数字识别文件,包含了源代码、最优权重向量、以及带标记的训练集。代码中给出了详细的注释,对于理解神经网络的原理有很好的帮助。
matlab基于手部轮廓的手势识别方法
- 通过提取手势轮廓作为特征来识别手势的动作(The action of identifying by extracting the contour of a gesture as a feature)
BP神经网络解决手写数字识别问题-matlab源代码
- BP神经网络解决手写数字识别问题 matlab源代码(BP neural network solves the matlab source code for handwritten digit recognition problem)
手写数字样本
- 关于手写数字的两个样本库,可利用多种语言进行图片的识别处理。(Two sample libraries for handwritten numbers)
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.)
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.)
手写数字数据集的光学识别_KNN
- 手写数字数据集的光学识别_KNN,有数据集,有源代码(Optical Recognition of Handwritten Digital Data Set _KNN, Data Set, Source Code)
BP手写数字识别
- bp实现手写数字识别,识别率一般在97%以上,其中有添加噪声和不添加噪声的情况。(Recognition of Handwritten Numbers Based on BP)
手写识别实验
- 基于stm32f103系列芯片开发的人脸识别实现(Realization of Face Recognition Based on STM32F103 Series Chips)
基于贝叶斯最小错误率手写数字识别
- 基于贝叶斯手写数字识别,基于MATLAB+GUB平台,手写0-9数字进行识别分类(Handwritten Number Recognition Based on Bayesian)
智能手环核心算法
- 通过mpu6050加速度传感器,获取人体运动时,手腕重力变化识别运动状态,姿势等核心算法(Through the mpu6050 acceleration sensor, when the human body is moving, the wrist gravity changes to identify the core algorithms such as motion state and posture.)
MATLAB神经网络手写数字识别(GUI,论文)
- 本课题为基于MATLAB的BP神经网络手写数字识别系统。带有GUI人机交互式界面。读入测试图片,通过截取某个数字,进行预处理,经过bp网络训练,得出识别的结果。可经过二次改造成识别中文汉字,英文字符等课题。(This project is based on Matlab bp neural network Handwritten digit recognition system. With GUI human-computer interactive interface. Read in the
手写MNISTmatlab实现
- 资料可以直接运行,是matlab源码,实现了AI领域常见的手写字符MNIST数据集的识别,一般都是python做,matlab实现的很少,就算有也经常报错,因此这里是提供了例程以及数据集!数据集也是matlab能直接读取的MNIST格式!下载这个资料连数据集都不用单独下载了,节省时间。(The data can be run directly. It is the source code of MATLAB. It realizes the recognition of MNIST data s
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)