Weight (in Neural Networks)

The values that determine how much influence one part of a model has on another.

Help me explain to...

K–5th
Weights are like levers that decide how strong a computer’s answer will be.

6–8th
In AI, weights are like settings that change how much each piece of info matters.

9–12th
Weights are parameters in neural networks that scale the importance of inputs in relation to the output. They’re adjusted during training.

K–5th
Use scales or levers to show how “weight” affects outcomes. Try with toy predictions!

6–8th
Simulate weighted decisions using colored balls with values. Change weights and see outcomes.

9–12th
Visualize weights in a small neural net. Adjust them and observe prediction shifts.

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