Bayesian Regulation Backpropagation Neural
are passed through the network, layer by layer, to produce 1. an output. Backward pass: The error (difference between predicted and actual output) is 2. propagated backward through the layers, calculating gradients that are used to update the network’s weights. This iterative process adjusts the wei