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stm32handwriting
- 嵌入式STM32F407ZGT6手写输入识别源码，数字和英文字母-翻译 嵌入式STM32F407ZGT6手写输入识别源码，数字和英文字母 32/5000 Embedded STM32F407ZGT6 handwriting recognition to identify source code, numbers and English letters
hand-written-numeral-recognition
- 手写数字识别，连续手写数字的识别，BP神经网络-hand-written numeral recognition
MNIST(tensorflow)
- 基于tensorflow的手写识别，训练后可以识别手写数字-Based on tensorflow handwriting recognition, training can identify handwritten numbers
CNN
- 这个代码主要是研究手写数字的识别效率，用卷积神经网络算法来实现，用的是官方手写字体数据，能够显现百分之九十以上的识别率。-Used for convolution neural networks to identify handwritten numbers
BPshouxieshuzishibie
- 基于BP神经网络的手写数字识别，总共有三个程序，分别是建立样本，进行训练，最后是检验测试-Based on the BP neural network handwritten numeral recognition, a total of three procedures, namely, the establishment of samples, training, and finally test
53607888mnistclassify_DBN
- 目前深度学习已经得到研究者的广泛关注，在这里深信度网络被用于手写字符的识别，得到非常好的分类精度。-Currently deep learning has been much attention, here we are convinced of the network is used to identify handwritten characters, get very good classification accuracy.
number-recognitionP
- 基于matlab利用BP神经网络开发的手写数字识别，正负样本为分别为1000张，手写数字是minist库-Based on BP neural network matlab developed handwritten numeral recognition, positive and negative samples were 1000, handwritten digital library is minist
text_line_extraction_code
- 一个国际会议的历史文档文本行提取的程序，对研究少数民族文档的识别有帮助，可以学习，可以切分倾斜 手写的文字-An international conference of the historical document line of the line of the extraction process, the study of the identification of minority documents helpful, you can learn, you can cut the han
cnn
- 这段代码主要用python写的卷积神经网络，利用42000张手写识别照片对这个网络进行测试，得出的准确率很高-hand identify
turn_wrist
- 用python写的，基于加速度传感器识别翻转手腕的手环算法-Write a python-based, hand-ring algorithm based on the acceleration sensor to identify the flip wrist
2.source_code
- 基于决策树的手写字符识别，动态识别输入的笔画顺序，位置等，类似于在线字符识别，具有较高的准确率。可以在QT打开。-handwriting charactor recognition based on random forests.
CNN
- CNN learning 手写数字识别 神经网络-CNN learning handwritten numeral recognition neural network
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
CNN
- 用卷积神经网络实现的手写数字识别（minst）,可直接运行，识别率较高。用Tensorflow实现-Handwritten digital recognition (minst) with convolution neural network can be run directly and the recognition rate is high. Implemented with Tensorflow
ann
- 用简单神经网络(CNN)实现的手写数字识别(minst),可直接运行，用的是Tensorflow框架，通过该例程可以掌握Tensorflow基本用法-With a simple neural network (CNN) to achieve the handwritten numeral recognition (minst), can be run directly, using the Tensorflow framework, through the routine can master
codes
- 手写数码（0到9）识别的神经网络框架。附有数据训练集和测试集。采用随机梯度下降的BP算法。可以修改参数，加入drop out和动量法。-Digital handwriting (0 to 9) of the neural network recognition framework. With training and test data sets. BP algorithm using stochastic gradient descent. Parameters can be modified
STM32-SHOUXIESHIBIE
- 通过使用ALIENTEK手写识别库,实现简单的数字/字符手写识别程序. -By using the ALIENTEK handwriting recognition library, a simple digital/character handwriting recognition program is implemented.
colorReduce
- 简单的用于识别手写数字，先对数字进行特征提取，灰度化，二值化，特征提取-Simple to identify handwritten numbers, the first of the digital feature extraction, grayscale, binarization, feature extraction
matlab1
- matlab实现的手写数字识别，准确率高，给力！-Matlab implementation of handwritten numeral recognition, high accuracy, awesome!
11
- 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