Description

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.