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1) design an artificial neural network with two inputs (X1 and X2). She won't have the bias. This network will have an output layer, with one neuron (N3). The output of the network is called Y. Make the weights (W's) of each neuron explicit in the network, as well as the interconnections between all parts of the ANN.

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1) design an artificial neural network with two inputs (X1 and X2). She won't have the bias. This network will have a hidden layer with two neurons (N1 and N2), plus an output layer, with one neuron (N3). The output of the network is called Y. Make the weights (W's) of each neuron explicit in the network, as well as the interconnections between all parts of the ANN.