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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?
π‘ 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?
π‘ Hint: Remember the output range of the function.
Practice 4 more questions and get performance evaluation
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?
π‘ Hint: Think about the function that normalizes outputs.
Question 2
In a binary classification task, what does an output close to 0 indicate?
π‘ Hint: Focus on the interpretation of probabilities.
Solve 1 more question and get performance evaluation
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.
π‘ 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.
π‘ Hint: Think about how outputs are interpreted in binary scenarios.
Challenge and get performance evaluation