conclusion

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Robert Bendun 2023-06-07 14:10:25 +02:00
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@ -261,7 +261,6 @@ Accuracy while training for 2 epochs, epoch size is 1024.
Further evaluation and model training is required. Further evaluation and model training is required.
\section{Conclusions} \section{Conclusions}
Due to available computational power (or lack there off) any conclusions about the solution are limited. Due to available computational power (or lack there off) any conclusions about the solution are limited.
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}. 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}.
Due to greater space-efficiency of AI powered solution, test deployment may be tested in the near future. Due to greater space-efficiency of AI powered solution, test deployment may be tested in the near future.