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Backpropagation in Neural Networks by kameswarisreevalli2801 is a document available to read on EtoBox.

Backpropagation is an algorithm used to compute gradients of the loss function in neural networks, allowing for weight updates via gradient descent to minimize loss. The process involves defining the network components, performing forward propagation, computing the error function, and applying the chain rule to calculate gradients. These gradients are essential for updating the model

Author

kameswarisreevalli2801

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EN