搜索资源列表
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这是深度置信网的C++版本。
rbm.h 实现自动编码.
mnist.h 读取MNIST数据文件
spectrum.inl RGBs与颜色的映射
demo.cc 训练/测试主程序-The deep learning algorithm is based on the matlab code provided by Geoff Hinton etc at http://www.cs.toronto.edu/~hinton/MatlabForSciencePaper.html
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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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Joint Deep Learning for Pedestrian Detection的实现- the article Joint Deep Learning for Pedestrian Detection，MATLAB code
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深度学习matlab工具箱，已经测试通过的源码，可以应用在图像识别、模式识别、语音识别等领域-Deep learning matlab source code, which can be applied in graph identification, pattern recognition and sound recognition
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卷积神经网络代码，Java版。改自Deep Learning Toolbox的matlab代码。-CNN code with Java. From github deep learning toolbox
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深度学习工具包，包含神经网络，卷积神经网络等众多深度学习工具的MATLAB源码-MATLAB source deep learning kits, including neural networks, neural networks, and many other convolution depth learning tool
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fast resudiual deep learning （matlab version）-fast resudiual deep learning （matlab version）
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Sift图像特征提取算法 的matlab实现，可直接使用运行。-SIFT for deep learning 。
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cvpr2016论文Deep Learning of Binary Hash Codes for Fast Image Retri (HDS)对应的matlab源代码-cvpr2016 paper Deep Learning of Binary Hash Codes for Fast Image Retri (HDS) corresponding matlab source code
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SSD算法是目标检测与分类比较优秀的前沿算法，基于深度学习平台实现，最大的优点是速度快。(It is a matlab code (SSD) for object detection based on deep learning.)
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faster_rcnn的matlab试验资料，包括编译好的包，CUDA7.5，matlab2016a，VS2013(this is a good learning resource for object detection using deep learning.
we use faster_rcnn algorithm and matlab coder
cuda version is 7.5
VS version is 12.0
matlab version is 2016a)
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实现CNN的手写字体matlab程序，可调节激活函数，选择loss函数(Realization of handwritten font matlab CNN procedures, can regulate the activation function, loss function)
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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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利用matlab做深度学习，SRCNN作为超分辨率重建开山之作，用matlab进行代码复现(Matlab to do deep learning, SRCNN as a super resolution reconstruction work, using matlab for code reproduction)
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