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2 cards from this section. Quick, good the night before a test.
What is the purpose of backpropagation in neural networks?
Think about how the network learns from mistakes.
What does a loss function evaluate?
How does the network measure its accuracy?
What is the main function of backpropagation in neural networks?
Consider what it means for the network to learn.
True or False: Backpropagation works by adjusting weights in a forward direction.
Think about the name 'backpropagation'.
Explain how a neural network would perform backpropagation after receiving a high error from its prediction. What steps would it take?
Think about how the network learns from mistakes to find the correct path.
In a neural network trained on image classification, if the network misclassifies an image, describe how backpropagation would specifically adjust weights for this case.
Focus on the connection between misclassification and weight adjustment.
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