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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of plotting learning curves in deep learning?
π‘ Hint: Think about performance measurement over epochs.
Question 2
Easy
What does it mean if validation loss increases while training loss decreases?
π‘ Hint: Consider the relationship between training and validation data.
Practice 4 more questions and get performance evaluation
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?
π‘ 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.
π‘ Hint: Consider the role of regularization in model simplicity.
Solve 1 more question and get performance evaluation
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.
π‘ 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.
π‘ Hint: Focus on actions to change the training and architecture.
Challenge and get performance evaluation