搜索资源列表
dtcrease
- 联机手写数字简易识别系统源代码 不错的源码 学习用(Simple online handwritten numerals recognition system source code, a good source to learn)
lenet_iter_10000
- caffe-windows mnist 训得到的模型,可用于手写字体识别(Caffe-windows MNIST training model can be used for handwritten font recognition)
machine-learning-ex4
- Andrew Ng Cousera 机器学习课程神经网络手写字符识别,源代码以及说明文档(Andrew Ng Cousera 's Machine learning courses, Neural Network handwritten character recognition, source code and documentation)
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
BP_mnist
- BP网络实现手写字体识别。压缩文件包含mnist数据集,直接在pycharm运行BPNetwork.py文件,输出测试集识别结果和测试精度。(Handwritten recognition based on BP network. The compressed file contains the MNIST data set, runs the BPNetwork.py file directly in the pycharm, outputs the test set, identifies
CNN_code
- 卷积神经网络代码齐全,手写数字识别以及SAE的例子(Convolutional neural network code)
code&doc
- 基础的卷积神经网络代码,实现mnist手写字符识别,含中文文档说明(Basic CNN code, including detailed annotation in Chinese)
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
qiege
- 图像处理,手写数字识别,手写字符串的分割(Segmentation of handwritten strings)
shouxieshuzishibie
- 识别手写数字0~9,包括如何获取数字特征,如何将图形数字转换为0,1的方阵(Recognition of handwritten digits 0~9)
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)
dnn
- 用TensorFlow搭建神经网络,识别手写数字(building the neural network by using TensorFlow to identify mnist dataset)
SVMminstRecognition
- 在OpenCV环境下使用SVM算法实现minst手写0-9识别(Using SVM algorithm to realize MINST handwritten 0-9 recognition in OpenCV environment)
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)
tensorflow.tar
- tensorflow入门教程,识别手写数字demo(Tensorflow tutorial, recognition of handwritten digital demo)
Lenet
- 卷积神经网络(lenet_5)代码,用于手写字符识别(code of convolutional neural network for handwork characterisic recognation)
汉字笔画部首字库
- 汉字笔画部首字库,包含常见文字,可以做手写输入法识别(Chinese Stroke order)
Handwritten_numeric_recognition
- 基于keras深度学习框架的手写数字字符识别(Handwritten numeric character recognition based on keras depth learning framework)
2_tf_mnist
- tensorflow,简单神经网络识别手写字符(Recognition of handwritten characters by neural network)
代码
- 手写数字识别,使用神经网络进行minist库的手写数字识别(Minist,I don't want to say,you can see Chinese introduction)