Practice Neural Network Fundamentals (6.1) - Introduction to Deep Learning (Weeks 11)
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Neural Network Fundamentals

Practice - Neural Network Fundamentals

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the main function of activation functions in a neural network?

💡 Hint: Think about why a straight line may not suffice for complex data.

Question 2 Easy

Define backpropagation.

💡 Hint: It's like retracing steps after making a mistake.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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

💡 Hint: Consider why linear functions might be limiting.

Question 2

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

True
False

💡 Hint: Think about the structure of networks and their learning processes.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

How would you redesign a perceptron to tackle the XOR problem which it fails at? Explain the changes and functionality.

💡 Hint: Consider how combining multiple layers can allow for more complex decision-making.

Challenge 2 Hard

Discuss the advantages of using Adam optimizer over basic SGD when training deep neural networks. Provide examples.

💡 Hint: Think about how varying learning rates can affect training dynamics.

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