搜索资源列表
source-code
- 用D-CNN的方法，即CNN卷积层加Fisher Vector做图像分类的MATLAB代码-Use D-CNN approach ( Fisher Vector follows results of CNN convolutional layer as the image feature) to classificate the image
CNN
- 深度学习模型，CNN实现道路分类效果，这不是自创，-Depth learning model, CNN achieve road classification results
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.
cnn
- 用于图像分类的源代码，深度学习的应用，cnn卷积神经网络的使用，可以自己更换数据集或者调优，适合初学者使用！-For image classification of the source code, the application of in-depth learning, cnn convolutional neural network, you can replace the data set or tuning, suitable for beginners!
DPL-CNN
- 最新的基于卷积神经网络和字典对分类器的图像识别与分类算法资料-Image recognition and classification algorithm based on convolution neural network and dictionary classifier
CNNPSVM
- 卷积神经网络（CNN）用来提取特征，采用SVM分类器进行训练和分类- U5377 u7EF u7EE u7EF3 u7R1 u7R3 u7R2 U5206 u7C7B
CNN
- 使用cnn提取图像特征，然后用SVM分类，此处没有给出训练集，另外imagenet-caffe-alex部分代码需要注意，需要下载的话把注释掉的代码打开(Using CNN image feature extraction, and then use the SVM classification, there were no given training set, also need to pay attention to imagenet-caffe-alex part of the code
richter-master
- 使用cnn + svm的分类，结果运行不错(Using CNN + SVM classification, the result runs pretty well.)
MyCode
- cnn结合xgboost代码,用于多分类器的设计(CNN related code,combined with xgboost,it is used to classify things.)
cifar-10-cnn-master
- 经典数据集分类,利用卷积神经网络分类，利用python语言编写(classic picture classification)