3 ms·
Why doesn't it explain what the "bias" is?
by archerx 6y ago
Why doesn't it explain what the "bias" is?
- confuseshrink 6y agoBias is just a scalar term that is added. You can learn it via backpropagation like all the other weights.
- scarlac 6y agoNeurons have weight and bias. Weight is multiplied, bias is added. Really that simple. Here are examples of equivalent notations that may make it more familiar: y = 2⋅x + b or y = a⋅x + b - x would be the input to the neuron, often named 'x'. - a/2 would be the weight, often named 'w'. - b would be the bias, often named 'b'. - y is the output. In neural network documentation this is often written as (often case sensitive, which may be confusing): output = w⋅x + b (output = weight * input + bias). I hope that explains it.