{"description":"Test your knowledge of activation functions, their characteristics, and their impact on training neural networks.","questions":[{"answer":"To introduce non-linearity","number":1,"options":["To reduce the dataset size","To normalize input data","To introduce non-linearity","To connect hidden layers"],"question":"What is the primary role of an activation function in a neural network?"},{"answer":"Sigmoid","number":2,"options":["ReLU","Tanh","Sigmoid","Linear"],"question":"Which activation function outputs values strictly between 0 and 1?"},{"answer":"Softmax","number":3,"options":["Sigmoid","ReLU","Softmax","Linear"],"question":"Which activation function is typically used for multi-class classification?"},{"answer":"ReLU","number":4,"options":["Tanh","ReLU","Softplus","Sigmoid"],"question":"Which function is known for turning all negative inputs into zero?"},{"answer":"Tanh","number":5,"options":["Tanh","ReLU","Sigmoid","Softmax"],"question":"Which activation function has an output range of -1 to 1?"},{"answer":"Linear","number":6,"options":["Softmax","Sigmoid","Linear","Tanh"],"question":"Which activation function is best suited for regression problems where output is unbounded?"},{"answer":"Softplus","number":7,"options":["Softplus","ReLU6","Hard Sigmoid","Tanh"],"question":"Which function is a smooth approximation of ReLU and always differentiable?"},{"answer":"It is nonlinear and cheap to compute","number":8,"options":["It is nonlinear and cheap to compute","It compresses inputs to a narrow range","It increases training time","It guarantees smooth outputs"],"question":"Why is the ReLU function preferred in deep networks?"},{"answer":"Hard Sigmoid","number":9,"options":["Softplus","Hard Sigmoid","ELU","Tanh"],"question":"Which activation function modifies the sigmoid curve for faster computation?"},{"answer":"ReLU6","number":10,"options":["ReLU6","ELU","Tanh","Sigmoid"],"question":"Which activation function is useful when you want to bound output to a maximum of 6?"}],"title":"Activation Functions"}