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-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matlab实现的BP神经网络，比较基础，对已有的语音信号进行分类，留了500个作为检验-Using matlab to achieve the BP neural network basis of comparison, the existing classification of the speech signal, leaving a 500 as a test
matconvnet-1.0-beta19.tar
- matlab实现CNN卷积神经网络，进行图像分类。(We can realize neural network with matlab, which will complete the classification of the image.)
cnn
- matlab包，卷积神经网络函数，用于数据预测，分类以及识别(Convolution neural network functions for data prediction, classification and identification)
CNN
- 卷积神经网络matlab代码,内附详细解释。可用于图像识别，数据分类。(this is an zip of matlab code for CNN used for data classification or figure recognization.)
CNN_matlab
- 卷积神经网络（CNN）是一种深度学习方法，它可以对图像进行识别和特征分类等优点。(The convolution neural network (CNN) is a deep learning method which can identify and characterize the image.)
richter-master
- 使用cnn + svm的分类，结果运行不错(Using CNN + SVM classification, the result runs pretty well.)
classifier_cnn
- 利用MATLAB实现一个基于CNN的图像分类算法(Implementing an image classification algorithm based on CNN with MATLAB)
卷积神经网络CNN进行图像分类
- 基于卷积神经网络的图像识别，应用于MATLAB(Image Recognition Based on Convolutional Upgrading Network)
CNN_matlab
- 使用matlab2019a深度学习工具箱实现的CNN卷积神经网络分类例程，数据是随机生成的一维随机数(Using the CNN convolution neural network classification routine realized by MATLAB 2019a deep learning toolbox, the data is one-dimensional random number generated randomly)
code
- matlab的程序cnn编写，对图片进行分类并预测，最后完成搜索功能， 输入图片路径给出所有同类的图片结果(matlab program cnn train and predict search function and so on)