v1.0.0

The first version of this network, making use of a single perceptron that takes in n inputs, where n is 2 times the number of bits per operand

As such it has n weights, one for each input bit, where the sum is put through a sigmoid function, where the output is a float from 0 to 1, that is multiplied by 2^(number of bits + 1) to gives us the networks answer to the sum of the two numbers