Neural networks can be used to determine relationships and patterns between inputs and outputs. A simple single layer feed forward neural network which has a to ability to learn and differentiate data sets is known as a perceptron.

By iteratively “learning” the weights, it is possible for the perceptron to find a solution to linearly separable data (data that can be separated by a hyperplane). In this example, we will run a simple perceptron to determine the solution to a 2-input OR.
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