Fertisch aber HolladieWaldfee
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@ -132,3 +132,5 @@ void clearSeries(GrayScaleImageSeries *series)
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free(series);
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}
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}
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//HolladieWaldfee
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@ -21,3 +21,5 @@ GrayScaleImageSeries *readImages(const char *path);
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void clearSeries(GrayScaleImageSeries *series);
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#endif
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//HolladieWaldfee
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@ -170,3 +170,5 @@ int main()
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return UNITY_END();
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}
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//HolladieWaldfee
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2
main.c
2
main.c
@ -66,3 +66,5 @@ int main(int argc, char *argv[])
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return exitCode;
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}
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//HolladieWaldfee
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1
makefile
1
makefile
@ -64,3 +64,4 @@ else
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rm -f *.o mnist runMatrixTests runNeuralNetworkTests runImageInputTests
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endif
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//HolladieWaldfee
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3
matrix.c
3
matrix.c
@ -176,3 +176,6 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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}
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return result;
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}
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//HolladieWaldfee
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3
matrix.h
3
matrix.h
@ -25,3 +25,6 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2);
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#endif
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//HolladieWaldfee
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@ -194,3 +194,6 @@ int main()
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return UNITY_END();
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}
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//HolladieWaldfee
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@ -171,3 +171,4 @@ void showMnist(unsigned int windowWidth, unsigned int windowHeight, const GraySc
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free(navigationLabel);
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free(predictionLabel);
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}
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//HolladieWaldfee
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@ -6,3 +6,5 @@
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void showMnist(unsigned int windowWidth, unsigned int windowHeight, const GrayScaleImageSeries *series, const unsigned char predictions[]);
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#endif
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//HolladieWaldfee
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@ -266,3 +266,5 @@ void clearModel(NeuralNetwork *model)
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model->numberOfLayers = 0;
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}
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}
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//HolladieWaldfee
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@ -24,3 +24,6 @@ unsigned char *predict(const NeuralNetwork model, const GrayScaleImage images[],
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void clearModel(NeuralNetwork *model);
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#endif
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//HolladieWaldfee
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@ -281,3 +281,6 @@ int main()
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return UNITY_END();
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}
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//HolladieWaldfee
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@ -8,3 +8,6 @@ typedef int (*UnitTestType)(void);
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#define RUN_UNIT_TEST(fct) printf("%80s: %d\n", #fct, fct())
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#endif
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//HolladieWaldfee
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