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+ # Neural Netwok
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+ This is a neural network coded from scratch that classifies the MNIST handwritten digits.
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+ ### Q1
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+ In Q1 I test the effect of different output formats, learning rates, batch sizes and ...
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+ ### Q2
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+ Q2 runs the code using the best features we tested in Q1 and it reaches ** 90% accuracy** !!
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+ ### Q3
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+ The code in Q3 runs a model using only two layers (input and output, there is ** no** hidden layer) on the same dataset and reaches ** 80% accuracy** .
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+ ## How to run it ...
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+ in order to run the code ` cd ` to the directory and run ` python3 main.py `
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from Q1 import main as Q1_main
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from Q2 import main as Q2_main
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from Q3 import main as Q3_main
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- from Q5 import main as Q5_main
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def main ():
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Q1_main ()
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Q2_main ()
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Q3_main ()
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- Q5_main ()
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if __name__ == '__main__' :
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main ()
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