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4 cards from this section. Quick, good the night before a test.
What is backpropagation used for?
Think about training and adjusting a model.
What does the loss function measure?
It's about how much we are off in predictions.
What is the main purpose of backpropagation in neural networks?
Think about training processes.
True or False: The loss function is irrelevant in backpropagation.
It’s all about measuring performance.
Evaluate how changing the learning rate may affect the backpropagation learning process. What happens if the learning rate is too high or too low?
Consider the balance between speed and accuracy in learning.
Propose a situation in which you would choose cross-entropy loss over mean squared error. What factors justify this decision?
Focus on the type of problem—classification vs. regression.
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