Practice Challenges in Training - 8.3.3 | 8. Deep Learning and Neural Networks | Data Science Advance
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Challenges in Training

8.3.3 - Challenges in Training

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the vanishing gradient problem?

💡 Hint: Think about how gradients affect learning.

Question 2 Easy

List one strategy to mitigate overfitting.

💡 Hint: Think about regularization techniques.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What happens during the vanishing gradient problem?

Gradients become too small
Gradients become too large
Gradients are unaffected

💡 Hint: Remember how gradients affect learning.

Question 2

True or False: Overfitting leads to poor performance on training data.

True
False

💡 Hint: Consider the meaning of overfitting.

3 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design an experiment to measure the impact of dropout on a network's performance. What metrics will you use?

💡 Hint: Consider practical metrics that reflect training success.

Challenge 2 Hard

Discuss how computational complexity in deep learning might evolve with advancements in hardware technology. What could the future hold?

💡 Hint: Think about trends in technology and their implications.

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