1. As we discussed in class, early works on neural networks focused on implementing logic functions...

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1. As we discussed in class, early works on neural networks focused on implementing logic functions with interconnected neurons. Particularly, we discussed the McCulloch-Pitts neuron in which the weights w;= 1, the inputs ; are either 1 or 0, and activation function is the unit step function. Using hand calculations only, design a network of McCulloch-Pitts neurons that calculates the logic function (1 AND 22) OR 23 for every possible set of inputs. V X₂- R X3 -14 f() 0 -0.5 f(v) 0.5 1. As we discussed in class, early works on neural networks focused on implementing logic functions with interconnected neurons. Particularly, we discussed the McCulloch-Pitts neuron in which the weights w;= 1, the inputs ; are either 1 or 0, and activation function is the unit step function. Using hand calculations only, design a network of McCulloch-Pitts neurons that calculates the logic function (1 AND 22) OR 23 for every possible set of inputs. V X₂- R X3 -14 f() 0 -0.5 f(v) 0.5