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Knowledge
Practice Questions
Test your understanding with targeted questions related to the topic.
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.
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 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.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation