搜索资源列表
大数据
- BP—ANN神经网络matlab源代码，主要用于数据预测，图像分类等，分为3层，输入层，输出和隐含层(BP - ANN neural network matlab source code, mainly used for data prediction, image classification and so on, divided into 3 layers, input layer, output and hidden layer)
vgg16
- 这是vgg16神经网络基于python的实现，可以用来识别图像中出现的物体。(This is the vgg16 neural network based on Python implementation, can be used to identify objects in the image.)
CNN Matlab代码
- 利用大量图像数据对卷积神经网络算法进行训练，通过卷积、池化、下采样以及全连接层训练后的卷积神经网络在图像识别精度越来越高。(By using a large number of image data to train the convolutional neural network algorithm, the accuracy of the image recognition is higher and higher by convolution, pooling, down sampling
车牌识别GUI.zip等多个文件
- matlab 车牌识别，含有gui界面，边缘检测车牌定位，神经网络字符识别(Matlab license plate recognition, including GUI interface, edge detection, license plate location, neural network, character recognition)
tuxaingyasuo
- 利用bp神经网络实现图像压缩，修改隐层节点个数可得到不同的压缩比。(Realization of image compression based on BP neural network)
《遗传算法－理论、应用与软件实现》源代码
- C# 图像处理、神经网络、遗传算法，有需要的可以学习一下。(C# image processing, neural network, genetic algorithm)
and
- matlab神经网络工具箱分析设计 不错的源码 还可以(Analysis and design good source matlab neural network toolbox You can also)
ExtractROI
- 基于静息态功能磁共振图像，提取fmri图像的感兴趣区(Extracting the ROI of the fMRI image)
DeepLearningImageClassificationExample
- 使用2012Imagenet数据大赛深度学习网络为架构的卷积神经网络，可进行多类数据分类任务(Using the 2012Imagenet Data Contest Deep Learning Network for Architectural Convolution Neural Networks, Multiple Class Data Classification Tasks)
手写体数字识别系统
- 用神经网络准确实现手写体数字的识别，很实用(Neural network to achieve handwritten numeral recognition, very practical)
CKFOEKK
- 关于小波神经网络的源程序,对研究小波神经网络非常有帮助(Source program of wavelet neural network to the study of wavelet neural network is very helpful)
PCANET
- 特别好用的图像分类算法！！！输入图像 输出分类结果(A particularly useful algorithm for image classification!!! Input image output classification results)
cnn-示例
- 卷积神经网络的结构模型，可实现对图像进行训练与识别(The structure model of the convolution neural network can realize the training and recognition of the image)
SRCNN
- 高分辨率重建图像，通过训练后输入的图像重建质量高，基于Caffe开发(High resolution reconstructed image)
darknet-master
- 是一种神经网络框架，在其基础上可以实现物体检测，图像分类，模式识别功能。(Darknet is a neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do righ
73462685svm
- 关于matlab图像处理 识别 分类 神经网络 支持向量机(About MATLAB image processing, recognition, classification)
3.25 基于脉冲耦合神经网络的图像分割
- 这是基于脉冲耦合神经网络的图像分割，提供给大家方便学习(This is based on pulse coupled neural network image segmentation, to provide you with convenient learning)
lenet5
- 此例为神经网络中lenet5的框架，适合学习图像识别、cnn的人学习(This is the framework of the lenet5 neural network, image recognition, suitable for learning to learn CN)
LSCN-master
- 基于PCNN脉冲耦合神经网络的图像增强算法，改进了PCNN基本算法，相比传统图像增强算法更有效(Image enhancement algorithm based on PCNN)
基于Matlab神经网络的图像识别
- 基于MATLAB神经网络的图像识别，简单易用。(MATLAB neural network based image recognition, easy to use.)