Practice Common Activation Functions (7.2.2) - Deep Learning & Neural Networks
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Common Activation Functions

Practice - Common Activation Functions

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the output range of the Sigmoid function?

💡 Hint: Think about what a probability represents.

Question 2 Easy

Which activation function is known to output values between -1 and 1?

💡 Hint: Consider functions that also help with zero-centering.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the output range of the Sigmoid function?

0 to 1
0 to 100
Negative Infinity to Positive Infinity

💡 Hint: Think about probabilities.

Question 2

True or False: The Tanh function can output values between 0 and 1.

True
False

💡 Hint: Consider the definition of Tanh.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have a binary classification problem. Discuss the advantages and disadvantages of using Sigmoid versus Tanh as activation functions in your network.

💡 Hint: Consider both the output ranges and the associated gradients.

Challenge 2 Hard

Explain how you would implement Leaky ReLU in a neural network and under which circumstances you would choose it over standard ReLU.

💡 Hint: Think about the situations in your model where neurons might output zero.

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Reference links

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