Consider the following network with the structure and weights below (colors only for emphasis). By convention, the negative of the intercept is shown in the node. For example, the top node with the number 1 in it means you use an intercept of -1 when computing the weighted sum. This is often called the "bias" of the neuron since a bias of 10 requires a weighted sum of 10 or more to fire positively. Using the simple sign activation function (the 0/1 version), what is the output of this network for the input , where is shown as the top input neuron and the bottom