Practice Visualize Training History and Overfitting - lab.5 | Module 6: Introduction to Deep Learning (Weeks 11) | Machine Learning
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lab.5 - Visualize Training History and Overfitting

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the purpose of plotting learning curves in deep learning?

πŸ’‘ Hint: Think about performance measurement over epochs.

Question 2

Easy

What does it mean if validation loss increases while training loss decreases?

πŸ’‘ Hint: Consider the relationship between training and validation data.

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 main indication of overfitting in learning curves?

  • Training accuracy increases
  • Validation accuracy decreases
  • Both A and B

πŸ’‘ Hint: Think about how the two metrics relate to each other.

Question 2

True or False: Regularization techniques are designed to increase the complexity of the model.

  • True
  • False

πŸ’‘ Hint: Consider the role of regularization in model simplicity.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are tasked with training a neural network that keeps overfitting. Describe a multi-faceted strategy to improve its generalization.

πŸ’‘ Hint: Think about combining multiple techniques to address the issue.

Question 2

Given a set of training and validation curves that indicate overfitting, design a plan to adjust your training procedure.

πŸ’‘ Hint: Focus on actions to change the training and architecture.

Challenge and get performance evaluation