Practice Introduction to Deep Learning (Weeks 11) - 6 | Module 6: Introduction to Deep Learning (Weeks 11) | Machine Learning
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6 - Introduction to Deep Learning (Weeks 11)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What are the limitations of traditional ML when handling unstructured data?

πŸ’‘ Hint: Think about how traditional ML models process input data types like images or text.

Question 2

Easy

What is a perceptron?

πŸ’‘ Hint: Recall what a basic neural network unit does.

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 a perceptron classify?

  • Multi-class data
  • Binary data
  • Unstructured data

πŸ’‘ Hint: Recall the function of a basic neural unit.

Question 2

True or False: Activation functions introduce non-linearity in neural networks.

  • True
  • False

πŸ’‘ Hint: Consider the role of activation functions in learning.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create a simple MLP architecture using specified activation functions for a classification task. Explain your design choices.

πŸ’‘ 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.

πŸ’‘ Hint: Think about how to balance data complexity and model capacity.

Challenge and get performance evaluation