A learnable parameter in a Neural Network which is used to adjust the output along with the weighted sum of the inputs to the neuron, and helps to adjust the overall fit of the model to the training data. Bias is a constant that is added to the product of inputs and weights, utilized to offset the result since a simple sum of weights might not be the required input for an activation function.
