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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main role of the Input layer in a DNN?
💡 Hint: Think about where the data comes into the network.
Question 2
Easy
Name one activation function used in DNNs.
💡 Hint: These functions are used to determine neuron activation.
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 does the Input layer do in a DNN?
- Process data
- Receive data
- Generate predictions
💡 Hint: It’s the starting point of a DNN.
Question 2
True or False: The Output layer is responsible for feature extraction.
- True
- False
💡 Hint: Think about what each layer's primary function is.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a small neural network for predicting house prices using input data like size, location, and condition. Describe the layers and activation functions you would use.
💡 Hint: Think about how each layer corresponds to specific features and the task type.
Question 2
Explain how changing the number of neurons in the Hidden layer alters the performance of a DNN.
💡 Hint: Consider the trade-off between capacity and generalization.
Challenge and get performance evaluation