Practice Activation Functions - 8.1.2 | 8. Deep Learning and Neural Networks | Data Science Advance
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Activation Functions

8.1.2 - Activation Functions

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does the Sigmoid activation function output range?

💡 Hint: Think of a logistic curve.

Question 2 Easy

What is the formula for Tanh?

💡 Hint: It uses exponential functions.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the output range of the Sigmoid function?

(-1
1)
(0
1)
All real numbers

💡 Hint: Think about binary outcomes.

Question 2

The Softmax function is typically used for what kind of tasks?

Regression
Binary Classification
Multi-Class Classification

💡 Hint: Recall its function in the context of classifying multiple categories.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a set of logits [1.2, 0.9, 0.4], calculate the Softmax probabilities.

💡 Hint: Remember to normalize the exponentials.

Challenge 2 Hard

Explain how replacing ReLU with Leaky ReLU could be beneficial in a highly convoluted network.

💡 Hint: Think about neuron activation sustainability.

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