Interactive · How machines learn
How Machines Learn
No rules are written by hand. The model sees labeled examples, adjusts its internal weights to reduce error, then predicts a label for something it has never seen — with a confidence, not a certainty.
1 · Labeled Data
examples + correct answers
→
2 · Training
adjust weights to reduce error
epoch 0 / 24
error (loss) ↓
→
3 · Prediction
unseen input → probabilities
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▶ Run the training loop
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