Following diagram shows a simple artificial neural network (ANN) with one hidden layer: A weight connecting nodes (neurons) i and j is denoted by wj, such as w13 is the weight that connects neurons 1 and 3 . Here we list all the weights in this ANN: Both hidden layer and output layer apply the following step function as activation functions: (v)={10ifv0otherwise where v means the weighted sum of a neuron. Each of the input neurons ( 1 and 2 ) Both hidden layer and output layer apply the following step function as activation functions: (v)={10ifv0otherwise Where v means the weighted sum of a neuron. Each of the input neurons (1 and 2) can only receive binary values. If the input pattern is Node 1=1, and Node 2=0, what will be the output of this ANN? Output for Node 5=0; Output for Node 6=0 Output for Node 5=1; Output for Node 6=1 No answer is correct Output for Node 5=0; Output for Node 6=1 Output for Node 5=1; Output for Node 6=0