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README update
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README.md
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README.md
@ -6,13 +6,7 @@ For a demo on how to learn hand written digits, get some training data:
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wget http://archive.ics.uci.edu/ml/machine-learning-databases/semeion/semeion.data
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And if you're on Linux / MacOS just build and run Tinn with the test file:
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make; ./tinn
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If you're on Windows it's:
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mingw32-make & tinn.exe
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make; ./test
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The training data consists of hand written digits written both slowly and quickly.
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Each line in the data set corresponds to one handwritten digit. Each digit is 16x16 pixels in size
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@ -34,7 +28,7 @@ less that 0.1% accuracy for the other digits.
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## Features
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* Portable - Runs on Windows, MacOS, Linux, and embedded chips like ARM, AVR, and Microchip
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* Portable - Runs where a C99 or C++98 compiler is present.
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* Sigmoidal activation.
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