搜索资源列表
[codes]LeNet-5
- 是matlab的代码，关于yann Lecun在89年提出的cnn的原型，这个代码成功应用于欧洲很多国家的手写支票识别-Is matlab code on cnn yann Lecun prototype made in 1989, this code successfully applied to handwriting recognition check many European countries
CNN
- 用 卷积神经网络进行手写字符 识别,内含mnist训练集-Handwritten character recognition, containing mnist convolution neural network training set
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
CNN
- CNN learning 手写数字识别 神经网络-CNN learning handwritten numeral recognition neural network
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)
数字识别
- python的keras调用theano创建cnn识别minist手写数字(use keras of python to create cnn to recognize digit wrote by hand)
cnn
- matlab卷积神经网络cnn，用于手写字体识别或者其他都可以(matlab cnn For handwritten font recognition or anything else)
my_cnn.tar
- 用卷积神经网络实现手写数字识别，数据集为mnist数据集(Convolution neural network is used to realize handwritten numeral recognition. Data set is MNIST data set.)
mnist
- 利用keras实现手写数字识别，使用CNN模型 全连接层+两个卷积层，最后Softmax分类器，识别率超过96%(Using keras to realize handwritten numeral recognition baesd on CNN model. One whole connection layer + two convolution layers, and a Softmax classifier. The recognition accuracy is over 96%
MNIST_CNN 代码及测试结果
- 只含一层卷积层的CNN也可以将手写数字识别的正确率达到99%(The CNN with only one convolutional layer can also get the correct rate of handwritten digit recognition up to 99%.)
simpleCNN
- 在anaconda+opencv+tensorflow平台下，利用简单的CNN卷积神经网络进行手写字符识别(Under the anaconda+opencv+tensorflow platform, we use simple CNN convolution neural network to handwritten character recognition.)
张哲_017034910051_03
- 基于tensorflow的手写数字识别，MLP和CNN对比(the compare between MLP and CNN in Handwriting recognition.)
Tensorflow CNN
- 卷积神经网络识别手写数字，放在jupyter直接跑，99%识别率，已经和Tensorboard联通好了(Convolutional neural network recognizes handwritten numerals and runs directly on jupyter. The recognition rate is 99%. It has been connected with Tensorboard.)
CNN
- 手写数字识别的数据集 matlab实现cnn(Data Set for Handwritten Number Recognition Realization of CNN in matlab)
深度学习CNN手写数字识别
- 利用CNN网络手写数字识别，注释清楚，损失函数用的是focalloss，标注明确，可以跑通，框架是pytorch