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CNN Class, ver 0.72.
Change log:
Ver 0.72:
Sample GUI added, demonstrating use of convolutional network for handwriten digits recognition.
Training runs 20 faster.
Ver 0.71:
Bug fix: training was stoped after 1 epoch.
Ver 0.70:
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CNN - Convolutional neural network cla-CNN - Convolutional neural network class
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matlab code for CNN - Convolutional neural network cla-matlab code for CNN - Convolutional neural network class
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DeepLearnToolbox_CNN_lzbV2.0
深度学习,卷积神经网络,Matlab工具箱
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusberg
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这是深度学习的常用工具箱，里面包括常用的自动编码器、卷积神经网络和深度置信网络的函数-
This is a common toolbox depth study, which includes functions commonly used automatic encoder, convolutional neural network and depth of belief networks
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卷积神经网络程序，包含训练数据样本，具有一定参考价值-Convolutional neural network program, including training data samples, with a certain reference value
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hw2 convolutional neural nets
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matlab codes of a convolutional neural network
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卷积神经网络的全部代码，已经调试通过了，可用于特征选择(Convolutional neural network all the code, has been debugged, and can be used for feature selection)
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2d convolutional neural net
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本示例展示了怎样从一个预处理的卷积神经网络中提取特征，并用这些特征去训练一个图像分类器。(This example shows how to extract learned features from a pretrained convolutional neural network, and use those features to train an image classifier. Feature extraction is the easiest and fastest way use
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卷积神经网络代码，用MATLAB语言编写，可在maltab平台中运行。(Convolutional neural network code, written in MATLAB language, can run in maltab platform.)
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