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📚TheoryIntermediate

Early Stopping

Early stopping halts training when the validation loss stops improving, preventing overfitting and saving compute.

#early stopping#validation loss#patience+11
📚TheoryIntermediate

Grokking & Delayed Generalization

Grokking is when a model suddenly starts to generalize well long after it has already memorized the training set.

#grokking#delayed generalization
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Filtering by:
#early stopping
#weight decay
+12
⚙️AlgorithmIntermediate

Bellman-Ford Algorithm

Bellman–Ford finds single-source shortest paths even when some edge weights are negative.

#bellman-ford#single-source shortest paths#negative weights+12