搜索资源列表
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
- 此代码是对卷积神经网络用于手写字体识别的实现，程序是基于theano库开发的，并且用到了集成化模块keras,方便我们构建自己的网络结构，很好的解决分类问题-This code is the convolution neural network for handwritten character recognition, the program is based on the theano library development, and use the integrated modular k
cnn
- CNN网络关于手写数字识别的全套程序，可以自行调节迭代参数，得到自己想要的结果。-The simulation about the CNN experiment in Matlab.
CNN
- 手写数字识别 lenet 5 CNN的代码，对于初学机器学习者非常有帮助,可以运行。-Handwritten numeral recognition lenet 5 CNN code, for beginners machine learners very helpful, you can run.
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
CNN-LeNet5
- CNN中的手写识别LeNet5实现，用python，进行了中文注释(CNN handwritten recognition LeNet5 implementation, using python, carried out in Chinese Notes)
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)
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手写识别
- 基于Matlab的，用于识别手写的图片里面的内容(Based on Matlab, used to identify the contents of a handwritten picture)
cnn
- 用CNN识别手写数字集，误差率为1.07%(The handwritten numeric set is identified with CNN, the error rate is 1.07%)
Classify handwriten digits
- python下CNN手写数字识别CNN Classify handwriten digits(CNN Classify handwriten digits)
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.)
cnn
- vs的cnn程序，没有调用任何库。有两个卷积层，用minst手写库识别(Vs's CNN program, no library is called. There are two coiling layers that are identified by a MINST handwritten Library)
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.)
cnn
- 手写数字识别的简单实现，CNN入门到深入，三个版本供读者使用。(Simple Implementation of Handwritten Number Recognition, Getting Started with CNN)
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
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)
基于深度学习的手写数字体识别
- 基于深度学习的手写数字体识别，以卷积神经网络（CNN）作为网络模型，利用mnist手写数字训练数据集训练手写数字识别模型，搭建手写数字识别系统，并用自己手写的数字照片进行测试。
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
CNN实现数字手写识别
- 利用卷积神经网络实现数字手写体的识别任务。已经调试完