8.3 - Training Deep Networks
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Practice Questions
Test your understanding with targeted questions
What is backpropagation?
💡 Hint: Think about how we correct mistakes after getting our predictions.
What does gradient descent aim to minimize?
💡 Hint: Consider what error we want to reduce in our predictions.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does backpropagation help optimize in neural networks?
💡 Hint: Consider what we are trying to minimize by optimizing our predictions.
True or False: Overfitting results in better model accuracy on unseen data.
💡 Hint: Think about what happens when a model memorizes the training data.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
You have a neural network with 5 hidden layers. During training, it experiences vanishing gradients, which seem to halt learning. Describe methods you might implement to alleviate this issue.
💡 Hint: Consider how architectures help control gradient behavior.
Design an experiment comparing the effectiveness of Batch Gradient Descent to Mini-batch Gradient Descent on a set of training data. Outline the criteria you would measure and hypothesize expected outcomes.
💡 Hint: Think about the practical implications of each method's data processing.
Get performance evaluation
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