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stanford大学deep learning在线课程课后练习代码,我自己写的,可以参考一下。-Excercise of deep learning online course from http://deeplearning.stanford.edu/wiki. It is written by myself, aiming to help other students who is confused in the course.
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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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deep neural learning
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这是用于深度学习的Matlab工具箱
深度学习是机器学习的一个新的子领域,专注于学习深层次的数据模型。
它的灵感来自于人类大脑的明显的深层次(分层的)层次结构。
目录包括`NN /` - 一个用于前馈反向传播神经网络的库,`CNN /` - 卷积神经网络库,`SAE /` - 堆叠式自动编码器库,`CAE /` - 卷积自动编码器库,`util /` - 库使用的功能函数,`data /` - 实例使用的数据,`tests /` - 单元测试来验证工具箱是否正常工作(A Matlab to
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深度学习的matlab实现,带原始数据。算例简洁(deep learning using matlab in machine learning)
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deep learning Matlab toolbox
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deep learning with matlab
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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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Deep learning book using matlab
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人工智能深度学习,基于matlab的数字识别程序(Artificial intelligence deep learning, matlab based digital recognition program)
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LightNet是一个轻量级、多功能、纯粹的基于MATLAB的深度学习代码,附论文和代码,已运行跑通。(LightNet is a lightweight, multi-functional, pure MATLAB based deep learning code, with paper and code, running run.)
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深度学习的识别算法,经lbp优化后,效率很高(The recognition algorithm of deep learning is highly efficient after being optimized by LBP.)
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SAE手写数字识别 MATLAB代码 deep learning(SAE deep learning MATLAB)
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一般深度学习MATLAB代码 一个简单深度学习工具箱原创(General deep learning MATLAB code)
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Stanford 大学的深度学习源代码,可用于模式识别和预测,比较稳定。(Stanford University's deep learning source code can be used for pattern recognition and prediction, and is relatively stable.)
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详细分析解释了CNN的代码实现过程,仅供参考(Analysis of MATLAB code in deep learning
For reference only)
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通过使用Matlab软件,实现了基于深度学习的汽车目标检测。(By using Matlab software, vehicle detection based on deep learning is realized.)
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深度学习matlab工具包 包括SAE DBN CNN 等matlab代码(Deep learning matlab tool kit includes SAE DBN CNN and other matlab code)
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深度学习例子,共五个,逻辑回归,线性回归等等(deep learning examples)
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简单的介绍什么是深度学习、深度学习的应用场景等基础知识,帮助我们快速入门该领域(Briefly introduce what is the basic knowledge of deep learning, deep learning application scenarios, and help us quickly get started in this field.)
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