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README.md

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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`

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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