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@@ -106,7 +106,7 @@ namespace MachineLearning
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}
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++m_currentEpoch;
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- // Generally we want to keep monitoring the models performence on both test and training data
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+ // Generally we want to keep monitoring the model's performance on both test and training data
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// This allows us to detect if we're overfitting the model to the training data
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float currentTestCost = ComputeCurrentCost(m_testData, m_costFunction);
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float currentTrainCost = ComputeCurrentCost(m_trainData, m_costFunction);
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