How to train a tfjs model on logic gates

Using tensorflow for JavaScript to train an artificial intelligence model to effectively evaluate and predict expected output of a logic gate given two inputs.
training data is sourced from a two dimentional array truth table
// logic truth table
// -----------------
const truthTable = [
        [[[0, 0], [0, 1], [1, 1], [1, 1]],
        [[0], [1], [1], [1]]]
The first pairs of numbers are the input proceeded by the output


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