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手写体数字的识别程序
- 运用神经网络 算法所写的手写数字的识别程序-networks using neural network algorithm written in the handwriting digit identification procedures
number-recongnition
- 关于手写数字的识别问题，利用多种模式识别方法，例如神经网络方法，贝叶斯方法等-handwritten figures on the identification of problems and a variety of pattern recognition methods, such as neural networks, Bayesian methods
Number_88
- 该程序是基于BP神经网络的程序，完成手写阿拉伯数字的识别。
脱机字符识别
- 脱机字符识别:手写数字识别之Fisher线性判别,手写数字识别之模板匹配法,数字识别之神经网络法,细化算法-Offline Character Recognition : handwritten figures identifiable Fisher Linear Discriminant, handwritten figures identifiable template matching method, digital identification neural network, thinn
shouxie_v1.0
- 百度手写输入法源码，无需下载客户端直接在线使用，目前网络上此类源码大多不能用了-Baidu handwriting input source, download the client directly online without the use of most of the current network can not be used on such a source, and.
bp
- 实现神经网络的bp识别手写数字。改程序师用MATLAB实现的，里面代码可以直接用-Bp neural network to achieve handwritten numeral recognition. Reform program to achieve the division to use MATLAB, which code can be directly used
GestureStudy
- 本程序基于 BP 神经网络完成了对用户使用鼠标输入的特定手势的识别，并且可以学习 用户创建的新手势。程序中已经存储的手势是 Palm 系列掌上电脑中手写识别专用的 Graffiti 字体的数字 0～9，这种字体的特点是每个字由一个连续笔划构成，适合用一个连贯的鼠标手势表示： -This procedure based on BP neural network was completed using the mouse to the user input of a specific ges
bp_test
- 利用人工智能，神经网络中的BP网络实现的，可以有效识别手写体数字-Using artificial intelligence, neural network BP network, and can effectively identify the handwritten numeral
shouxie_v1.0
- 百度手写输入法源码，无需下载客户端直接在线使用，目前网络上此类源码大多不能用了，。 -Baidu handwriting input source, no need to download the client directly online use, most of the current network can not use such source code,.
CANeuralNetwoU
- CUDA应用：在CUDA上实现神神经网络，识别手写数字 -CUDA applications: the CUDA God neural network to recognize handwritten digits
hrecgsysapp
- 用人工神经网络手写数字识别代码，有界面，很完美-Handwritten digital identification code
codecnnMNIST
- 用cnn卷积神经网络实现对mnist手写库的识别(mnist classfication with convolution neural network)
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)
MNIST_data
- 循环神经网络可视化，用于神经网络的数据集，包含5万多个手写数字数据集(Circular neural network visualization)
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)
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)
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)
simplecharrec(III)-update
- 基于PCA和BP网络的手写数字字符的识别(Recognition of handwritten numeric characters based on PCA and BP networks)
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
BP_mnist_UI-master
- 基于BP神经网络的手写数字识别，有完整代码(based image segmentation algorithm)