Answer
Activation Functions matters in Deep Learning because it directly affects how well AI systems perform in this area. Teams that understand it can design solutions that are more accurate, efficient, and easier to maintain over time.
Real-world example The ReLU activation function is widely used because it is simple and helps a network trained on image data learn faster than older functions.