mirror of https://github.com/glouw/tinn
readme update
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@ -14,6 +14,7 @@ Tinn (Tiny Neural Network) is a 200 line dependency free neural network library
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int main()
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{
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// This example learns XOR.
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float in[SETS][NIPS] = {
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{ 0, 0 },
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{ 0, 1 },
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@ -47,11 +48,11 @@ Tinn (Tiny Neural Network) is a 200 line dependency free neural network library
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return 0;
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}
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For a quick demo, get some training data:
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For a more complicated 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:
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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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@ -59,6 +60,10 @@ If you're on Windows it's:
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mingw32-make & tinn.exe
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For the layman not accustomed to makefiles the makefile devolves into:
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gcc test.c Tinn.c -lm
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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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giving 256 inputs to the neural network.
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