Gradient descent: walking downhill in the fog
Imagine standing on a mountain in thick fog. You only see the ground at your feet — the slope at this spot. Goal: reach the valley. Strategy: take a step where the ground goes down. Repeat. That is gradient descent. Loss is the mountain. Model weights are your coordinates. The gradient is the slope underfoot. The aim is to find the bottom.
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