Practice Output Layer - 6.5.2.2.7 | Module 6: Introduction to Deep Learning (Weeks 12) | Machine Learning
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6.5.2.2.7 - Output Layer

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the main function of the output layer in a CNN?

πŸ’‘ Hint: Think about what the model needs to do with the information processed.

Question 2

Easy

Which activation function is typically used for binary classification tasks?

πŸ’‘ Hint: Remember the output range of the function.

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 activation function is used for multi-class classification?

  • Sigmoid
  • Softmax
  • Tanh

πŸ’‘ Hint: Think about the function that normalizes outputs.

Question 2

In a binary classification task, what does an output close to 0 indicate?

  • True
  • False

πŸ’‘ Hint: Focus on the interpretation of probabilities.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an output layer for a CNN meant to classify images of fruits into apples, oranges, and bananas. Discuss the number of neurons, the activation function, and the rationale behind your choices.

πŸ’‘ Hint: Consider the classification task's requirements.

Question 2

Explain what would happen if the output layer of a binary classification model used the Softmax function instead of Sigmoid.

πŸ’‘ Hint: Think about how outputs are interpreted in binary scenarios.

Challenge and get performance evaluation