Practice Neural Architecture Search (nas) (14.5.2) - Meta-Learning & AutoML
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Neural Architecture Search (NAS)

Practice - Neural Architecture Search (NAS)

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does NAS stand for?

💡 Hint: Think about what neural networks need for designing.

Question 2 Easy

Name one technique used in NAS.

💡 Hint: These are inspired by ways nature operates or mathematical optimization.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does NAS stand for?

Neural Adaptation Search
Neural Architecture Search
Numerical Arithmetic Study

💡 Hint: Focus on what aspect of neural networks NAS automates.

Question 2

Which of the following is NOT a technique used in NAS?

Reinforcement Learning
Simulated Annealing
Evolutionary Algorithms

💡 Hint: Recall the techniques mentioned in our discussions.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

How would you design a NAS algorithm to improve the efficiency of hyperparameter tuning in deep learning?

💡 Hint: Consider how NAS choices could influence hyperparameter settings.

Challenge 2 Hard

Discuss the implications of NAS on traditional machine learning model development processes.

💡 Hint: Reflect on how automation alters workflows in ML development.

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Reference links

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