3 ms·
The bias is just another input node whose value happens to be constant (granted with full connectivity), right? So the motivating idea/derivation of backpropoga
by ironSkillet 8y ago
The bias is just another input node whose value happens to be constant (granted with full connectivity), right? So the motivating idea/derivation of backpropogation doesn't change.
- Chilinot 8y agoThe bias is often updated/corrected in the back propagation step as well. The purpose of the value is to shift the activation function along the x-axis basically. While the weights define the slope of the activation function.