搜索资源列表
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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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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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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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Wang, Lijun等提供的卷积神经网络跟踪算法，详细内容可参见论文Visual Tracking with Fully Convolutional Networks，测试运行环境为64-bit Arch Linux OS-Wang, Lijun and other neural network convolution tracking algorithm provided detailed information can be found in the paper Visual Tracki
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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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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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基于卷积神经网络的图像超分辨率重建，不含训练程序，包含已训练好的model !(Test code for Super-Resolution Convolutional Neural Networks (SRCNN))
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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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该代码实现了使用Matlab实现卷积神经网络来对图像进行去雾操作。(This code implements a convolutional neural network using Matlab to defog the image.)
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