Question: why bias in neural network?
Answer: In a Neural network, weight increases the steepness of activation function and it decides how fast the activation function will trigger whereas bias is used to delay the triggering of the activation function. ... Thus, Bias is a constant which helps the model in a way that it can fit best for the given data.