Backpropagation Quiz

Practice computing a forward pass, backward pass, and weight update by hand for a simple neural network. The activation function is the logistic sigmoid σ(x) = 1/(1+e^−x). The loss function is squared error E = ½(target − output)². The target is always 0.01 and the learning rate is always η = 0.5. All values needed for computation are shown on the network diagram. Round answers to 4 decimal places. Refresh for a new problem.