Loading the lesson
Loading the lesson
Search AllRounder.ai
Search the courses, subjects, tracks, games and features, or jump straight to a page.
Search the courses, subjects, tracks, games and features, or jump straight to a page.
3 cards from this section. Quick, good the night before a test.
What is the main purpose of an activation function in a neural network?
Think about how decisions are made in the network.
Name one activation function that outputs values between 0 and 1.
Consider functions often used in probability predictions.
What is the output range of the Sigmoid activation function?
Think about its application in predicting probabilities.
True or False: The ReLU activation function can output negative values.
Remember the ReLU function's definition.
Consider a neural network training on a binary classification task. Discuss how the choice of activation function for the output layer influences the network's performance and predictions.
Think about how the output should express probabilities.
Explain how using ReLU instead of Sigmoid in hidden layers impacts learning speed and convergence during training.
Consider the gradient behaviors of both functions.
5 more questions in this section. Enroll free to practise them all.
Enroll free