搜索资源列表
lab5-juanji
- tms320c6000卷积的代码程序, -tms320c6000 convolutional code procedures tms320c6000 convolutional code procedures
juanjima
- 用matlab语言实现卷积码编码过程，有程序运行结果。-Matlab language used convolutional code encoding process, there are procedures for the results.
convolenc
- convolenc -performs convolutional encoding Convolutional Encoder with m shift register stages x- input - the binary data to be encoded input sequence can be of any length k -constraint length k can take any value greater than 3
Convolutional-Code
- 该程序用matlab实现的，用于完成图形图像的卷积码编码。而卷积码是一种需要除了本组之外的信息来实现编解码。-The program achieved using matlab for complete graphic images encoded convolutional codes. The convolutional code is a need in addition to information outside the group to achieve codec.
RS
- 一种特定的卷积码的MATLAB仿真和结果-A specific convolutional code of MATLAB simulation and results
Imaging-Codes
- THe codes in cluded one of them performs background removal. another two will perform convolutional filtering for images and the another one performs image thresholding -THe codes in included one of them performs background removal. another two will
ver_0.82
- 此文件包包含用卷积神经网络识别手写输入的识别程序，数据可从MNIST下载-This release includes sample of handwritten digits recognition using CNN. If you just want to try it run cnet_tool. You ll see a simple GUI. It loads pretrained convolutional neural net from cnet.mat and recognize
CNNWB_05-27-2012
- 这个是我找到的卷积神经网络在minist库上数字识别最好的结果，准确率99.5 ，比C++版本的更好。程序可以直接编译运行，但是因为要下载两个数据库可能非常慢，需要你修改一下代码跳过去。如果你对cnn很感兴趣，可以找我Q:3617 28654-This is what I found convolutional neural network minist library Digital Identification best results, the accuracy was 99.5 , be
CUDA_image
- 代码是基于CUDA环境下的图像卷积处理，基于Linux系统，文档中有makefile-Convolutional code on the image processing environment CUDA
rcnn-master
- 区域卷积网络 深度学习在目标检测、图像分割方面的应用代码 基于caffe操作平台-region convolutional net ,the adaptin of dep learning on object detection and segmentation
CNNS
- 这个程序旨在把卷积神经网络算法应用于手写字符识别。程序有几种结构的神经网络可以通过比较不同结构而得到对识别率的影响。-This program is designed to put the convolutional neural network algorithm is applied to the handwritten character recognition. The structure of the program there are several kinds of neural
Deep-Learning-Toolbox
- 深度学习matlab工具箱,包括深度deep belief nets,stacked autoencoder,convolutional neural nets等网络。-Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Ne
rscode
- 采用RS和1/2码率卷积码的级联码，实现高可靠性数字传输-Using RS and 1/2 rate convolutional code concatenated code, high reliability digital transmission
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
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
convsc
- fast convolutional sparse coding-fast convolutional sparse coding for image processing
CNN-
- CNN卷积神经网络数字识别MATLAB代码-CNN convolutional neural network digital identification MATLAB code
eccv_2014_deepresolution
- 汤晓鸥的一篇论文，使用卷积神经网络实现图像的超分辨率。-Tang Xiaoou s a paper, the use of convolutional neural network to achieve image super-resolution.
SRCNN
- 基于深度学习的图像超分辨率算法。 参考论文 Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014) -Super resolution based on deep learning Refer to Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014)
mc-cnn-master
- 通过培训立体匹配卷积神经网络对图像块进行比较-Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches