Sharpen your skills in neural network architecture with this focused quiz on activation functions! Explore how ReLU, Sigmoid, and Tanh impact model learning, gradient flow, and decision boundaries. This quiz dives into their mathematical properties, use cases, and pitfalls like vanishing gradients or dead neurons. Perfect for data scientists, ML engineers, and students looking to strengthen their understanding of how activation functions shape learning in deep neural networks.

Test your knowledge of fundamental neural network building blocks with this beginner-friendly quiz! Challenge yourself with 10 simple questions covering the logic of single-layer perceptrons, activation functions, weight updates, and how multi-layer perceptrons (MLPs) use hidden layers for non-linear learning. Whether you’re just starting with deep learning or brushing up before interviews, this quiz is your first step toward mastering artificial neural networks.