搜索资源列表
mycnn
- 卷积神经网络识别字符的Matlab程序，包含所需的所有素材和自己改进的一部分代码-Convolutional neural network for handwriten digits recognition: training and simulation. This program implements the convolutional neural network for MNIST handwriten digits recognition, created by Yan
readMNIST
- 对于MNIST图像数据库，利用该M文件读出，方便后续进行实验。-The function ReadMnist was programmed to solve the problem of read information the MNIST .
cnn_vs2012
- 基于Mnist库的手写数字识别的C++源代码，用卷积神经网络实现-Handwritten numeral recognition Mnist library C++ source code, using convolution neural network
CNN2
- 基于Mnist库的手写数字识别的C++源代码，用CNN实现，并且建立了用户界面-Handwritten numeral recognition Mnist library C++ source code, using CNN achieve, and the establishment of a user interface
dataset_mnist
- 压缩包中包含完整的mnist数据集及相应的bmp格式的图像数据-Compressed image data package contains the complete data set and the corresponding mnist bmp format
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
93131057-Naderi
- MLP matlab code for mnist dataset.
MNIST-OCR-ELM
- 多隐含层极限学习机，适合对大数据进行处理-Multiple hidden layer limit learning machine, suitable for large data processing
Lenet
- 这个资源使用实现lenet-5的网络结构来MNIST数据集，代码参考了UFLDL上的相关的代码，以及R. B. Palm实现的CNN中的相关代码，为了适应数据集我把lenet-5输入的大小改为了28*28，c3的每一张特征图都与s4的每一张特征图相关，训练的结果可以达到99.1 -The resources for network structure lenet-5 to MNIST data sets, code reference to the relevant code UFLDL on
lenet5test
- 实现lanet卷积，进行手写体识别。数据源可以来自mnist-Achieve lenet convolution, handwritten recognition. The data source can come mnist
CNN-MINIST
- 利用卷积神经网络进行MINIST数据集的分类识别，MATLAB源程序。-Convolution neural network classification MNIST dataset, MATLAB source.
neural-network
- 深度学习python实现，并附有MNIST上的测试程序，准确率98 以上-Deep learning learns low and high-level features large amounts of unlabeled data, improving classification on different, labeled, datasets. Deep learning can achieve an accuracy of 98 on the MNIST dataset.
convolution-nn
- 卷积神经网络源代码，visual studio可以运行的！mnist手写库的idx-ubyte格式的数据在里面，原图片再另一个工程里-convolution neural network
KNN
- KNN算法练习，使用mnist数据库，在包里已经集成好，包含knn算法和数据库，可直接使用-KNN,you can learn this codes
MyCnn
- 用VS2012实现手写数字识别的卷积神经网络算法，用mnist库作为输入-Using VS2012 to achieve the handwritten numeral recognition of the convolution neural network algorithm, using the MNIST library as an input
CNN
- 深度学习的卷积神经网络的MATLAB代码实现，数据为MNIST标准库。-it s a code in CNN with matlab.the is the MNIST.
q5
- train 2 layers neural networks to recognize MNIST of digits handwritten-train 2 layers neural networks to recognize MNIST of digits handwritten
MNIST-OCR-ELM
- ELM超限学习机的拓展应用，多层感知机，可用于特征提取- Expand the application ELM overrun learning machine, MLP can be used for feature extraction
Demo-MNist
- 利用神经网络进行手写数字识别演示代码！非常具有代表性！-Using neural network Digital Recognition demo code!
MatConvNet-mr-master
- 牛津大学开发的matconvnet工具包，可以生成vgg，alexnet等等模型，imagenet，mnist多种数据集可以跑-Oxford University developed matconvnet toolkit can generate vgg, alexnet etc. model, imagenet, mnist multiple data sets can be run