Neural DSL v0.2.2 Release Notes

๐Ÿš€ Major Changes Fixed Parameter Parsing Layer parameter handling has been significantly improved: โ›ถ# Now correctly handles both styles: Dense(64, "relu") # Positional params...
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True Error vs Sample Error

In machine learning and statistics, understanding the concepts of true error and sample error is crucial for evaluating the performance of models. These errors help us assess how well our models gener...
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Bias and Variance

Evaluating a machine learning model involves various metrics, such as Mean Squared Error (MSE) for regression and Precision, Recall, and ROC for classification problems. Among these evaluation metrics...
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