Practice Neural Network Fundamentals - 6.1 | Module 6: Introduction to Deep Learning (Weeks 11) | Machine Learning
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6.1 - Neural Network Fundamentals

Learning

Practice Questions

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?

πŸ’‘ Hint: Think about why a straight line may not suffice for complex data.

Question 2

Easy

Define backpropagation.

πŸ’‘ Hint: It's like retracing steps after making a mistake.

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 is the primary role of activation functions in a neural network?

  • To linearize the outputs
  • To introduce non-linearity
  • To stabilize the training process

πŸ’‘ Hint: Consider why linear functions might be limiting.

Question 2

True or False: Backpropagation only functions in single-layer networks.

  • True
  • False

πŸ’‘ Hint: Think about the structure of networks and their learning processes.

Solve 1 more question and get performance evaluation

Challenge Problems

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.

πŸ’‘ 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.

πŸ’‘ Hint: Think about how varying learning rates can affect training dynamics.

Challenge and get performance evaluation