Practice Training Phases (7.9.2) - Deep Learning & Neural Networks - Advance Machine Learning
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Training Phases

Practice - Training Phases

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define what an epoch is in neural network training.

💡 Hint: Think about how many times the model goes over the data.

Question 2 Easy

What does batch size refer to?

💡 Hint: Consider how many examples you involve in one go.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is an epoch in the training of neural networks?

A partial training phase
One complete pass through the training dataset
The size of the dataset

💡 Hint: Remember the definition associated with how often we examine all data.

Question 2

True or False: A smaller batch size can improve model performance.

True
False

💡 Hint: Consider how adjustments affect learning and performance.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Your dataset consists of 2000 samples, and you aim to train your model using a batch size of 100 for 15 epochs. Calculate the total number of iterations required to complete the entire training.

💡 Hint: Break it down by finding how many batches fit into the number of samples.

Challenge 2 Hard

A model shows decreasing loss but the accuracy remains unchanged for 3 consecutive epochs. What could be causing this, and what steps would you take?

💡 Hint: Reflect on the training dynamics and how they affect both loss and accuracy.

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