Machine Learning: the fundamentals
Text· 12 minMembers-only lesson
Measuring and fixing error: loss and gradient descent
A model needs a way to measure how wrong its predictions are, so it can later improve them. This measure is called loss. The lower the loss, the closer the model matches the real data. Two common ways to measure…
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