How does a neuron calculate its output?

1. The neuron looks at the activation of all connected neurons from previous layers.
Which are the X and Y position of the white test point inside the plot - Click the plot to set new XY-coordinates.
Each value is multiplied by its weight \(W_1\) or \(W_2\). The weights control how strongly each input affects the result. Finally, the bias is added.

2. An activation function converts this result into a number between 0 and 1.

3. This number is the neuron's prediction. A value close to 0 means red, while a value close to 1 means blue.