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@@ -4,12 +4,12 @@ This is a Deep Learning toolbox implemented by C/C++
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You need to install Eigen Matrix Libray and OpenCV 2.4.3 (or other alternative) in order to build this project.
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Some datasets are in zip file,you need to unzip them and copy to correct folders.
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Some datasets are in zip file,you need to unzip them and copy to the proper folders.
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You need to download the mnist dataset from http://yann.lecun.com/exdb/mnist/ and unzip to the correct folder,make sure it has the same name to what is referenced in the code,please rename it if not.
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You need to download the mnist dataset from http://yann.lecun.com/exdb/mnist/ and unzip to the proper folder,make sure it has the same name as what is referenced in the code,please rename it if not.
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The getConfigXXValues functions may not work due to the end of line format of "ParamConfig.ini" file,you should convert it to the windows platform end of line format.
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The getConfigXXValues functions may not work due to the end of line format of "ParamConfig.ini" file,you should convert it to the windows platform "end of line" format.
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The Deep Neural Network implemented by stacked autoencoders with proper paramters has a classification accuracy of 98% or even better on the mnist dataset(trained on training set and tested on test set).
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The Deep Neural Network implemented by stacked autoencoders with proper paramters has a classification accuracy of 98% or even better results with careful parameter selection on the mnist dataset(trained on training set and tested on test set).
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