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9 lines
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9 lines
1.0 KiB
Plaintext
\boolfalse {citerequest}\boolfalse {citetracker}\boolfalse {pagetracker}\boolfalse {backtracker}\relax
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\babel@toc {english}{}
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\defcounter {refsection}{0}\relax
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\contentsline {table}{\numberline {4.1}{\ignorespaces Performance metrics of the networks trained in Figure~\ref {fig:sgd_vs_gd} after 20 training epochs.\relax }}{30}{table.caption.34}%
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\defcounter {refsection}{0}\relax
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\contentsline {table}{\numberline {4.2}{\ignorespaces Values of the test accuracy of the model trained 10 times on random MNIST handwriting training sets containing 1, 10 and 100 data points per class after 125 epochs. The mean achieved accuracy for the full set employing both overfitting measures is \relax }}{41}{table.4.2}%
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\defcounter {refsection}{0}\relax
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\contentsline {table}{\numberline {4.3}{\ignorespaces Values of the test accuracy of the model trained 10 times on random fashion MNIST training sets containing 1, 10 and 100 data points per class. The mean achieved accuracy for the full dataset is: ....\relax }}{41}{table.4.3}%
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