Despite different variations of neural networks architectures, the computational model of a neuron hasn’t changed since inception. Every neuron has \(n\) incoming inputs \(X = (x_{1}, x_{2}, …​, x_{n})\) with weights \(W = (w_{1}, w_{2}, …​, w_{n})\). A neuron then com…