Learning from examples

A model can learn from many examples. For example, pictures labelled cat or dog help it learn differences between the animals. It then tries to recognise animals in new pictures.

Examples help a model learn patterns

Simplified learning analogy · Check how the model works on new examples too.

Examples labeled cat and dog lead to learned patterns. A new example is then tested. This does not guarantee a correct prediction.

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What helps a model learn a useful pattern?

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