Practice Activation Functions (11.3) - Introduction to Deep Learning (Weeks 11)
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Activation Functions

Practice - Activation Functions

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the primary purpose of an activation function?

💡 Hint: Think about what decisions a neuron needs to make.

Question 2 Easy

Can you name one advantage of the Sigmoid activation function?

💡 Hint: Recall what happens to graphs with smooth edges.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What type of output does the Sigmoid function provide?

0 to 1
Negative infinity to positive infinity
Discrete values

💡 Hint: Think about the output range.

Question 2

Is ReLU prone to the vanishing gradient problem?

True
False

💡 Hint: Consider how gradients work for ReLU.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a neural network with three hidden layers. Describe the effects of choosing ReLU versus Sigmoid in the hidden layers.

💡 Hint: Consider how each activation function behaves with varying inputs.

Challenge 2 Hard

Given a dataset with binary outcomes, justify your choice of activation function for the output layer.

💡 Hint: Think about how the output probabilities should behave.

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Reference links

Supplementary resources to enhance your learning experience.