2943984503神经网络及卷积神经网络用于手写数字识别ppt

1、a hand-writing digit recognition application base on neural network and covolutional neural networkcolleague of computer scienceinner mongolia universityhohhot , inner mongolia , p.r chinaemail: nn digit recognition 1. background 2. method neural network back-propagation 3. experiment training and t

2、esting samples neural network structure results ocr (optical character recognition) has become one of the important methods in gathering information and information transformation. digit recognition has a promising feature in many fields in society, such as the car license plate recognition , postco

3、de recognition, the statistics of report forms and financial report forms. so the research on the digit recognition is important.backgroundneural network neural network is a machine learning method.methodback propagation back propagation(bp) is a neural network learning algorithm.methodenvironment h

4、ardware: cpu: intel core i7 3630qm, 2.4ghz memory: 8g byte software: os: windows 7 (64) ide: vs2010 (c+)experimentexperiment-training and testing samples training and testing samples are from mnist ，http:/ every pic is a 28*28 dot matrix there are 10 pics in a sample, and there are 891 samples exper

5、imentneural network design our neural network has 3 layers：layerinput layerhidden layeroutput layerdimension14*14=19619610meaningaverage grey value of four neighbor dotsempirical value , about 11.5 times of the inputtarget numbers , i.e. 0,1,2,3.9experimentneural network design bp neural networkexpe

6、rimentresultstraining samples：testing samples：training itemssample picsright predictionright ratiotraining timevalue7000688898.4%603 476mstesting itemstest picsright predictionright ratiotraining timevalue1900179194.2632%908ms(0.48ms/pic)experiment卷积神经网络 基于人工神经网络 在人工神经网络前，用滤波器进行特征抽取 使用卷积核作为特征抽取器 自动训练特征抽取器（即卷积核，即阈值参数）卷积 卷积其实是一个图像处理核 卷积用于增强图像的某种特征卷积的例子子采样 降低图像分辨率 减少训练维数 增强网络对大小变化的适用性一般卷