The full form of “ReLU” is “Rectified Linear Unit.” It is a type of activation function commonly used in neural networks and deep learning models. The ReLU function is defined as ( f(x) = max(0, x) ), meaning it outputs the input directly if it is positive; otherwise, it outputs zero. This function helps introduce non-linearity in the model while being computationally efficient.