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@@ -9,8 +9,8 @@ Java (convolutional or fully-connected) neural network implementation with plugi
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Go to https://github.com/amten/NeuralNetwork/releases/latest to find the latest release. Download the files NeuralNetwork.zip and BLAS-dlls.zip.
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In Weka, go to Tools/Package Manager and press the "File/URL" button. Browse to the NeuralNetwork.zip file and press "ok".
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**Important!** For optimal performance, you need to install native matrix library files.
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Windows: Unzip the BLAS-dlls.zip file to Wekas install dir (".../Program Files/Weka-3-7").
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**Important!** For optimal performance, you need to install native matrix library files.
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Windows: Unzip the BLAS-dlls.zip file to Wekas install dir (".../Program Files/Weka-3-7").
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Ubuntu: Run "sudo apt-get install libatlas3-base libopenblas-base" in a terminal window.
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### Standalone
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Include the files NeuralNetwork.jar, lib/mtj-1.0-snapshot.jar, lib/opencsv-2.3.jar in your classpath.
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**Important!** For optimal performance, you need to install native matrix library files.
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Windows: Unzip the BLAS-dlls.zip file to the directory where you execute your application, or any other directory in the PATH.
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**Important!** For optimal performance, you need to install native matrix library files.
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Windows: Unzip the BLAS-dlls.zip file to the directory where you execute your application, or any other directory in the PATH.
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Ubuntu: Run "sudo apt-get install libatlas3-base libopenblas-base" in a terminal window.
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