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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of the input layer in a neural network?
💡 Hint: What do you think is the first step for a neural network?
Question 2
Easy
What does the weighted sum represent?
💡 Hint: Think about how inputs are assessed together.
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 first step in the working of a neural network?
- Output Layer
- Weighted Sum
- Input Layer
💡 Hint: Where does the data enter the system?
Question 2
True or False: The weighted sum is calculated before applying bias.
- True
- False
💡 Hint: Think about the sequence of operations.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given an input vector of [20, 10, 30] with weights of [0.2, 0.5, 0.3] and a bias of 2, calculate the final output if the activation function used is ReLU.
💡 Hint: Don’t forget to apply the activation function to the resulting sum of weighted inputs.
Question 2
Discuss the implications of using a non-linear activation function versus a linear one in a deep neural network.
💡 Hint: Think about what non-linear functions enable in terms of data interpretation.
Challenge and get performance evaluation