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Lesson 06: A softer perceptron, part II: likelihood and loss #education #science #deeplearning
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1,195 Aufrufe21Likes1:00alfcnzOriginalveröffentlichung: 2026-05-15

In neural network training, the optimal weights (W_check) are found by minimizing the loss function, which measures the 'badness' or error of the model's predictions; the goal is to select weights that result in the least cost for the given data, with larger weight values causing the loss curve to decrease more rapidly toward zero.

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