Neural Networks
How does backpropagation train neural network weights?
Answer:
Backpropagation optimises neural network training by performing a forward pass to generate predictions, calculating the error, performing a backward pass to compute loss gradients, and finally updating the network weights iteratively using an optimisation algorithm such as gradient descent.
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