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| -rw-r--r-- | report/paper.md | 2 |
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diff --git a/report/paper.md b/report/paper.md index e053353..fbb54f3 100644 --- a/report/paper.md +++ b/report/paper.md @@ -198,7 +198,7 @@ As observed in figure \ref{fig:mix1} we performed two experiments for performanc \end{figure} Both experiments show that an optimal amount of data to boost testing accuracy on the original MNIST dataset is around 30% generated data as in both cases we observe -an increase in accuracy by around 0.3%. In absence of original data the testing accuracy drops significantly to around 20% in both cases. +an increase in accuracy by around 0.3%. In absence of original data the testing accuracy drops significantly to around 20% for both cases. ## Adapted Training Strategy |