6. Consider a two-layer neural network with a sigmoid activation function as shown in Fig. 26. The initial weights, biases and training inputs outputs are given. SX Fig Q6 (a) Perform a forward pass computation and find the outputs at 01 and 02 (b) If the error function is the squared error function, find the total error of the network Erotar = (target output)