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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main purpose of a Fully Connected Layer in a CNN?
💡 Hint: Think about the last step before a prediction is made.
Question 2
Easy
Explain what a weighted sum is in the context of the FC layer.
💡 Hint: Consider how features influence the final decision.
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 role of the Fully Connected Layer in CNNs?
- To extract features
- To connect neurons
- To classify outputs
💡 Hint: It’s the last step before making predictions.
Question 2
True or False: The Softmax function is used in the Fully Connected Layer to compute probabilities.
- True
- False
💡 Hint: Think about how probabilities are derived for classification.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
How would you modify a Fully Connected Layer to reduce the risk of overfitting in a CNN?
💡 Hint: Think about methods that help in generalizing the model rather than memorizing.
Question 2
Consider a scenario where you have a significantly large feature vector in your FC layer. How might that impact computation, and what strategies could you employ to manage it?
💡 Hint: Consider how complexity affects processing.
Challenge and get performance evaluation