Assume that in this artificial neural network, neurons use sigmoid function (y=1 / (1+ex)) as an activation function. Weights are given on the links. Compute the intermediate values and the last output on the network using forward pass using the inputs given on the network (Do not use biases). Girdi (Input) A = 0.35 Girdi (Input) B = 0.9 0.1 0.6 0.8 0.4 0.3 0.9 kt (Output) Activate Windows