# Learning Rule fo bias weights

Consider the network :

The learning rule (weight update )used for the hidden-to-output weights is:

The learning rule (weight update )used for the input-to-hidden weights is:

So what about the bias weights? The above diagram doesn't contain any bias weights. So which rule to use to update the bias weights?