Fertisch aber HolladieWaldfee
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@ -131,4 +131,6 @@ void clearSeries(GrayScaleImageSeries *series)
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free(series->labels);
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free(series);
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}
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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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@ -169,4 +169,6 @@ int main()
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RUN_TEST(test_read_GrayScale_Pixel);
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return UNITY_END();
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}
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}
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//HolladieWaldfee
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4
main.c
4
main.c
@ -65,4 +65,6 @@ int main(int argc, char *argv[])
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}
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return exitCode;
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}
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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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5
matrix.c
5
matrix.c
@ -175,4 +175,7 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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}
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}
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return result;
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}
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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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@ -193,4 +193,7 @@ int main()
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RUN_TEST(test_setMatrixAtFailsOnIndicesOutOfRange);
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return UNITY_END();
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}
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}
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//HolladieWaldfee
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@ -170,4 +170,5 @@ void showMnist(unsigned int windowWidth, unsigned int windowHeight, const GraySc
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free(container);
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free(navigationLabel);
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free(predictionLabel);
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}
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}
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//HolladieWaldfee
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@ -5,4 +5,6 @@
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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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#endif
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//HolladieWaldfee
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@ -265,4 +265,6 @@ void clearModel(NeuralNetwork *model)
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model->layers = NULL;
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model->numberOfLayers = 0;
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}
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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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@ -280,4 +280,7 @@ int main()
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RUN_TEST(test_predictReturnsCorrectLabels);
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return UNITY_END();
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}
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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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