Loss functionLearning rateEpochs and mini-batchesLocal vs global minima
Gradient Descent: How Models Actually Learn
1 min readLearnJul 17, 2026
Key Takeaway for Students
Gradient descent nudges a model's parameters a little at a time toward lower error, like walking downhill in fog by always stepping toward lower ground. The learning rate sets how big each step is.
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Gradient descent nudges a model's parameters a little at a time toward lower error, like walking downhill in fog by always stepping toward lower ground. The learning rate sets how big each step is.