Can you explain what backpropagation is?
Backpropagation is an algorithm used in training neural networks, allowing them to learn from errors.
How does backpropagation work in simple terms?
It works by calculating the gradient of the loss function and updating the weights to minimize the error.
Why is backpropagation important for deep learning?
It's crucial because it enables efficient training of deep networks, improving their performance on tasks.
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