conclusion
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@ -261,7 +261,6 @@ Accuracy while training for 2 epochs, epoch size is 1024.
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Further evaluation and model training is required.
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Further evaluation and model training is required.
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\section{Conclusions}
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\section{Conclusions}
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Due to available computational power (or lack there off) any conclusions about the solution are limited.
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Due to available computational power (or lack there off) any conclusions about the solution are limited.
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However, with model defined as above we can efficiently compress information - timetables storing required information for a month are \SI{62}{\mebi\byte} and stored model occupies only \SI{19}{\mebi\byte}.
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However, with model defined as above we can efficiently compress information - timetables storing required information for a month are \SI{62}{\mebi\byte} and stored model occupies only \SI{19}{\mebi\byte}.
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Due to greater space-efficiency of AI powered solution, test deployment may be tested in the near future.
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Due to greater space-efficiency of AI powered solution, test deployment may be tested in the near future.
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