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What is the main purpose of backpropagation?

Answer and explanation

Correct answer: To help adjust the network’s weights based on the loss

Backpropagation uses the chain rule to calculate how the loss changes with respect to each trainable weight. It sends these gradients backward through the network, after which an optimizer such as gradient descent updates the weights to reduce prediction error. Therefore A is correct. Resizing images, deleting data, and adding layers are separate operations, not the purpose of backpropagation.

Related tags

Artificial IntelligenceNeural NetworksBackpropagationLoss GradientWeight UpdateUnit 6: Understanding Neural NetworksUnit 6 Understanding Neural NetworksPart B: Subject Specific Skills

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