Question

What is bias in a neural network? Mention any one of its functions.

Hint:

Bias acts like the intercept in linear equations, helping shift the output for better fitting.

Answer 1

Step 1: Define bias.
Bias in a neural network is an additional parameter added to the weighted sum of inputs before applying the activation function.

Step 2: Understand its purpose.
It helps the model shift the activation function, allowing the neuron to fit the data better.

Step 3: Mathematical role.
The output of a neuron is calculated as: weighted sum of inputs + bias, which improves flexibility.

Step 4: Function of bias.
Bias allows the neural network to produce a non-zero output even when all input values are zero.

Step 5: Conclude importance.
Thus, bias increases the learning capability and accuracy of the neural network.