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

Test your understanding with targeted questions related to the topic.

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.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

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.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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

💡 Hint: Remember to normalize the exponentials.

Question 2

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

💡 Hint: Think about neuron activation sustainability.

Challenge and get performance evaluation