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What are common mistakes to avoid with Activation Functions

Intermediate

Answer

A common mistake with Activation Functions is applying it without fully understanding the underlying data or problem, which often leads to weak or misleading results. Skipping proper testing before relying on it in a real project is another frequent error.

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.

Common follow-ups: What is Deep Learning, How is Activation Functions evaluated in practice, What tools are commonly used for Activation Functions

Deep Learning topics: Introduction to Deep Learning Perceptrons & Multilayer Networks Activation Functions