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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main function of activation functions in a neural network?
π‘ Hint: Think about why a straight line may not suffice for complex data.
Question 2
Easy
Define backpropagation.
π‘ Hint: It's like retracing steps after making a mistake.
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 primary role of activation functions in a neural network?
π‘ Hint: Consider why linear functions might be limiting.
Question 2
True or False: Backpropagation only functions in single-layer networks.
π‘ Hint: Think about the structure of networks and their learning processes.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
How would you redesign a perceptron to tackle the XOR problem which it fails at? Explain the changes and functionality.
π‘ Hint: Consider how combining multiple layers can allow for more complex decision-making.
Question 2
Discuss the advantages of using Adam optimizer over basic SGD when training deep neural networks. Provide examples.
π‘ Hint: Think about how varying learning rates can affect training dynamics.
Challenge and get performance evaluation