Think Together · Start with a Short Story
The robot gathers two clues, gives them different levels of importance, and calculates an output. What does an artificial neuron do?
Lay Out the Process
- InputsTwo numbers
- Apply weightsMultiply each by its weight
- CombineAdd them and include a bias
- TransformApply an activation function
A common artificial neuron calculates a weighted sum and bias, then applies an activation function.
Weights act like adjustment factors for each input, while a bias helps shift the decision point. An activation function transforms the result further so a network can represent more complex relationships.
These are numerical operations. There is no need to imagine a tiny person inside the node voting on an answer.
Now You Try
The inputs are 2 and 3, both weights are 1, and the bias is 0. What is the sum before activation?
Ready? Open this to see the explanation
5: 2 × 1 + 3 × 1 + 0. The result after activation depends on which function is used.
One Idea to Take Away
A common artificial neuron calculates a weighted sum and bias, then applies an activation function.
Try covering the diagram above and explaining each step to someone in your family. If one step is hard to explain, return to that card and look again.