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该文件是讲解matlab语言的书,可以让学习matlab语言的学者得到很快的提升,从简单入深。-The document is the language of the book on matlab, matlab language learning can be quickly and scholars of the upgrade, from the simple to the deep.
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深度学习工具箱,很多深度学习的源码,可以用于后级开发-deep learning toolbox
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DeepLearnToolbox 深度学习 matlab工具-DeepLearnToolbox deep learning matlab tool
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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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一篇关于对深度网络工具箱源代码调试和理解的文档,适合初学深度学习理论的研究生-a document on the coding and running matlab soucecode on deep learning, it is very good for the new learner of deep learn
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MATLAB神经网络经典程序
包括多个神经网络程序、深度学习程序-MATLAB neural network program
including mutil network and deep learning program
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matlab's deep belief network toolbox
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栈式自编码深度学习算法实现信号的分类,包含实例,用于动作的分类识别。(Stacked self classification, deep learning algorithm code signal contains examples for classification and recognition of action.)
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深度学习的matlab工具箱,用于机器学习图像处理等领域(deep learning tool box , machine learning)
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about deep learning. very good ppt
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挺好用的数算法 人工智能 真是好用 深度学习(Quite good, the number of algorithms used, artificial intelligence is really good, 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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Matlab 深度学习手册,通过改手册,可以掌握如何使用matlab进行深度学习仿真。(The deep learning algorithm of Matlab.)
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2d convolutional neural net
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利用RNF深度学习网络结构实现MCMC算法(Using RNF deep learning network structure to implement MCMC algorithm)
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深度学习工具包(包含DBN,NN,CNN基础代码)(deep learning tool bar)
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MATLAB实例与人工智能神经网络深度学习深度信念网络(MATLAB instance and artificial intelligence neural network deep learning deep belief network)
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LSTM可用的matlab程序,可用到时间序列预测(Matlab code for predicting via LSTM algorithm)
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用MATLAB深度学习进行雷达辐射源信号分选识别(Radar emitter signal sorting and recognition with MATLAB deep learning)
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使用Matlab深度学习工具箱-googlenet 图像分类(Using GoogLeNet to classify images using deep learning toolbox)
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