LMLearning Monitor

Neural Networks, Visually

Weights and biases

10 min · beginner

Every connection has a weight, a number describing how important that input is. A bias lets the neuron shift its decision even when inputs are zero.

A positive weight reinforces a signal, a negative weight reverses its effect, and a weight near zero makes the connection less important.

Move the slider and watch the activation intensity change.

What does a weight near zero usually mean?