搜索资源列表
pgase
- 手写数字识别之模板匹配法 推荐给大家使用 学习-Handwritten numeral recognition of template matching method is recommended to use learning
cycle-uncmeckew
- 模式识别中的脱机字符识别,包括手写数字识别之Fisher线性判别,-Off-line character recognition in the pattern recognition, including the Fisher linear discriminant of handwritten numeral recognition,
NN
- 实现的一个用于手写数字识别的框架，可以设置神经网络结构，用的数据是mnist的(Implementation of a handwritten numeral recognition framework, you can set the neural network structure, the training data is MNIST)
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
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)
chapter1
- 识别数字，实现手写数字的自动识别，节省人力(recognizeRecognition of numbers, automatic recognition of handwritten numerals, and manpower saving)
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)
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)
数字识别系统v2
- 可以手写输入数字 但是要2014b以前的MATLAB才能运行(You can write the numbers by hand, but you can run them with the MATLAB 2014b)
手写体数字识别界面程序
- 模糊模式识别，贝叶斯，手写识别。用于识别手写的数字。有样本图片。(Fuzzy pattern recognition, Bayes, handwriting recognition. Used to recognize handwritten numbers.)
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)
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)
5-4 tensorboard visualization
- tensorflow手写数字识别学习，根据样本进行计算(learn TensorFlow with mnist)
figure_recognition
- 基于python3的利用神经网络进行的手写数字识别程序。(A handwritten numeric recognition program based on python3 based on Neural Network.)
stacking
- kaggle digitrecognizer MNIST by stacking some machine learning method, such like GBM(Gradient Boosting Method), LR, Extra Randomized Trees, Random Forest,KNN,etc.用stacking的方法实现手写数字识别MNIST。(kaggle digitrecognizer MNIST by stacking some machine learnin
mnist.pkl
- mnist数据集，用于手写数字识别的数据集，机器学习入门必备(mnist data,original data in http://yann.lecun.com/exdb/mnist/)
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.)
纯C-CNN
- 纯C深度学习库，里面包含MNIST手写数字识别数据集，编译就能训练和预测(Pure C depth learning library, which contains MNIST handwritten digital recognition data sets, compiling can be trained and predicted.)
mnistA
- 手写识别，基于tensorflow的代码，包含数据源等，供学习，代码为官方源代码(Handwriting recognition, tensorflow based code, including data sources, etc. for learning, the code is official source code)