Consider the following specifications of a certain FFANN: Number of inputs=2. Number of neurons in the hidden layer=3 (sigmoid neurons). Number of output layer=2 (unipolar continous). Each euron in the network has (+2) bias input. The weight matrix that connects the input to the hidden layer is 50.2 -0.1 Wji L1.2 0.5 -0.5 -0.6] The weight matrix that connects the hiden layer to the output layer is 1.2 Wkj [-1.6 0.4 0.5 0.1 -1.1. Assume that all the bias weights are equal to 0.7 Answer the following: a. Draw the SFG of the given network b. Simulate the network for the following input vector [-] Consider the following specifications of a certain FFANN: Number of inputs=2. Number of neurons in the hidden layer=3 (sigmoid neurons). Number of output layer=2 (unipolar continous). Each euron in the network has (+2) bias input. The weight matrix that connects the input to the hidden layer is 50.2 -0.1 Wji L1.2 0.5 -0.5 -0.6] The weight matrix that connects the hiden layer to the output layer is 1.2 Wkj [-1.6 0.4 0.5 0.1 -1.1. Assume that all the bias weights are equal to 0.7 Answer the following: a. Draw the SFG of the given network b. Simulate the network for the following input vector [-]