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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are the limitations of traditional ML when handling unstructured data?
π‘ Hint: Think about how traditional ML models process input data types like images or text.
Question 2
Easy
What is a perceptron?
π‘ Hint: Recall what a basic neural network unit does.
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 does a perceptron classify?
π‘ Hint: Recall the function of a basic neural unit.
Question 2
True or False: Activation functions introduce non-linearity in neural networks.
π‘ Hint: Consider the role of activation functions in learning.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Create a simple MLP architecture using specified activation functions for a classification task. Explain your design choices.
π‘ Hint: Design with data complexity in mind.
Question 2
Analyze a scenario where a neural network struggles with the curse of dimensionality. Offer solutions to mitigate these effects.
π‘ Hint: Think about how to balance data complexity and model capacity.
Challenge and get performance evaluation