搜索资源列表
CNN_Edge_extraction
- CNN图像边缘检测，是将细胞神经网络的标准版用matlab实现，比较简单易懂-CNN Image edge detection is realized on matlab,it is simple.
CNN
- cnn实现matlab代码，用于计算视觉，和机器学习方面的学习 -cnn achieve matlab codes for computer vision, and machine learning to learn
CNN-CODE.docx
- 一个用MATLAB实现的CNN神经网络深度学习工具包的源代码-CNN code for MATLAB
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
- 卷积神经网络的c++ 实现版本，本文件主要供学习机器学习的同学使用，里面代码有详细注释-CNN matlab
CNN-Toolbox
- 基于matlab的深度学习工具箱，该工具箱内包含一个基于手写识别的cnn模型，注释清晰。-Based on the depth of learning matlab toolbox, the toolbox contains within a model based on handwriting recognition cnn, clear notes.
CNN_face_detection-master
- CVPR2015级联CNN进行人脸检测的MATLAB实现代码，按照流程实现，效果绝佳-CVPR2015 cascade CNN for face detection MATLAB implementation code, according to the sequence, and excellent results
cnn_tutorials
- cnn网络从入门到精通，包括matlab工具箱源码解读，图形化解释，非常详细。学习卷积神经网络必读资料，-cnn network entry to the master, including source code matlab toolbox interpret graphical explain, in great detail. Convolutional neural network learning required reading,
BPshuzishibie
- 基于CNN的神经元经典代码，对学习很有帮助，它主要包括了基于MATLAB神经元处理的一些解释与功能的实现等。-Based on CNN neurons classic code, very helpful, which includes a number of interpretation and implementation of functionality based on MATLAB neural processing and the like.
practical-cnn-2016a-code-only.tar
- VGG卷积神经网络练习，在matlab中使用vlfeat/matconvnet对图像进行去模糊的操作进而更好的识别图像(VGG Convolutional Neural Networks Practical)
build_database_for_image
- 在同一个根目录下有若干个文件夹，每个文件夹下有若干张图片，对这些图片提取CNN特征，生成一个文件夹名和图片对应的mat数据文件(There are several folders under the same root directory. There are several pictures under each folder. Extract CNN features from these pictures, and generate a folder name and mat data f
CNN_SAR
- MNIST手写体识别，编程语言为matlab(MNIST handwriting recognition)
Convolutional-Neural-Network-master
- matlab，深度学习工具箱，经典的卷积神经网络，共有两层卷积层。输入为28*28*1的图片(Matlab, the deep learning toolbox, the classic convolution neural network, has two volumes of layers. A picture entered into 28*28*1)
CNN
- 完整的CNN卷积神经网络创建、训练及测试。(Complete CNN convolution neural network is created, trained and tested.)
richter-master
- 使用cnn + svm的分类，结果运行不错(Using CNN + SVM classification, the result runs pretty well.)