搜索资源列表
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
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- 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
train-labels-idx1-ubyte
- 用于手写数字识别的训练数据(标签) 数据格式:前32位为2049,再32位为数据数量,之后每一位都是标签值(Training data (tags) for handwritten digit recognition)
train-images-idx3-ubyte
- 用于手写数字识别的训练数据(图片) 数据格式:前32位为2049,再32位为数据数量,再32位为图片宽度M,再32位为图片高度N,之后每N*M位都是图片的像素值(Training data (pictures) for handwritten digit recognition)
MATLAB图像与视频处理实用案例详解试读样章
- 详细讲解了25个MATLAB图像与视频处理实用案例(含可运行程序),涉及雾霾去噪、答题卡自动阅卷、肺部图像分割、小波数字水印、图像检索、人脸二维码识别、车牌定位及识别、霍夫曼图像压缩、手写数字识别、英文字符文本识别、眼前节组织提取、全景图像拼接、小波图像融合、基于语音识别的音频信号模拟灯控、路面裂缝检测识别、视频运动估计追踪、Simulink图像处理等多项重要技术(Explain in detail the 25 MATLAB image and video processing utility
最新车牌识别系统源码VC++
- 通过车牌提取、图像预处理、特征提取、车牌字符识别等技术,识别车辆牌号,目前的技术水平为字母和数字的识别率可达到96%,汉字的识别率可达到95%。(Through the license plate extraction, image preprocessing, feature extraction, character recognition of license plate recognition technology, vehicle brands, the current level o
OpenCV官方教程中文版(For Python)
- 图形识别,机器学习,数字识别,python学习(Graph recognition, machine learning, digit recognition, python learning)
BP神经网络实现手写数字识别matlab实现
- BP神经网络实现手写数字识别matlab实现(Matlab implementation of handwritten digit recognition based on BP neural network)
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)
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)
mnist
- 手写数字识别。通过各种数字图片进行机器识别,属于机器学习入门级别编程。(Handwritten digit recognition. The machine is recognized by various digital pictures, which belongs to the introduction level programming of machine learning.)
digitrecognition
- Digital Recognition Neural network by matlab
基于概率神经网络的手写体数字识别
- 基于概率神经网络的手写体数字识别,可用于课程设计(Handwritten digit recognition based on probabilistic neural network can be used for course design)
MNIST_CNN 代码及测试结果
- 只含一层卷积层的CNN也可以将手写数字识别的正确率达到99%(The CNN with only one convolutional layer can also get the correct rate of handwritten digit recognition up to 99%.)
Digit-Recognizer
- 在matlab平台上的数字识别,使用了几百个数字样本进行训练测试(digital recognition in matlab)
Hopfield
- 应用于数字识别的离散Hopfield神经网络的联想记忆(Associative memory of discrete Hopfield neural network applied to digit recognition)
3809
- 语音识别类文件,能识别0到9 预处理特征参数提取(It is good to use,It can carry out digit recognition, including preprocessing and feature parameter extraction.)
apriori
- apriori算法,matlab,大数据挖掘(The libsvm used for handwritten digit recognition, data uci . You can go to uci datasets sites directly download semeion.data. The data can be called directly after putting into the folder.)
MNIST数据集
- 手写数字识别数据集的训练集和测试集,关于BP神经网络(Handwritten digit recognition data set)
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