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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the function of the input layer in an ANN?
💡 Hint: Think about where data enters the network.
Question 2
Easy
What do hidden layers do?
💡 Hint: Consider what happens to the data after it enters the input layer.
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 is the main purpose of the input layer in an ANN?
💡 Hint: Think about the entry point of data into the neural network.
Question 2
True or False: The more hidden layers a neural network has, the more it can learn complex patterns.
💡 Hint: Consider how depth influences learning.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Evaluate how the choice of the number of hidden layers can impact the performance of an ANN in a real-world application.
💡 Hint: Consider the implications of complexity in model architecture.
Question 2
Design a simple ANN architecture for a house price prediction model, detailing the layers involved.
💡 Hint: Think about what data would be most relevant for predicting house prices.
Challenge and get performance evaluation