搜索资源列表
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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
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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
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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
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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
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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
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CNN卷积神经网络数字识别MATLAB代码-CNN convolutional neural network digital identification MATLAB code
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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.
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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
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Code for CVPR15 paper Learning to Compare Image Patches via Convolutional Neural Networks
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This package allows researches to apply the described networks to match image patches and extract corresponding patches.
We tried to make the code
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关于卷积神经网络的文章，中文翻译的，挺不错的，欢迎下载学习啊-A convolutional neural network tutorial, Chinese translation, very good, welcome to download the study
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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,
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深度卷积神经网络超分辨，来自于ECCV2014一篇文章的代码，代码好用-Depth of the convolutional neural network super resolution, the ECCV2014 an article of the code, code easy to use
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人脸特征点定位，将深度学习运用到人脸对齐中，卷积神经网络
-Facial features localization, depth learning to use face alignment, the convolutional neural network
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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!
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整理的关于卷积神经网络图像处理边缘检测的简单的程序，希望大家共同学习-Simple procedures for convolutional neural network image processing edge detection finishing, we hope to learn together
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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)
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SRCNN代码实现。该代码使用三层卷积神经网络，进行图像的超分辨率重建，效果比双三次插值好很多(The code uses three layer convolutional neural network for image super-resolution reconstruction, the effect is much better than the double three interpolation.)
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这是卷积神经网络的小程序，希望对大家有帮助(This is a small convolutional neural network procedures, we hope to help)
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We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction by means of a deep learning model that leverages fully convolutional neural networks and deeply-supervised nets. HED automat
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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)
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