Assume that for these inputs (x1 = 0.1, x2 = 0.5), the target value t = 1.00 and the learning rate = 0.1. Compute the new weight for the connection h2 o using backpropagation. Show your calculations

Not a language or whatsoever: just calculations.

Neural Networks and Gradient Descent 17. Consider a neural network with two input nodes r1 and z2, two hidden nodes h1 and h2 and one output node O All nodes have sigmoid activation functions. The weights for the connections are as follows: Connection Weight 0.5 0.9 0.1 0.7 0.8 0.1 Table 3: Neural Network Weights