Artificial Neural Network and Machine Learning have become hot topics in the popular media. The idea of intelligent machines captivates the imagination of many, and especially how they would compare to humans. Specifically, one fundamental question that seems to come up frequently is about the underlaying mechanisms of intelligence -- do these artificial neural networks really work like the neurons in our brain? While the high level and conceptual thinking of ANNs (artificial neural networks) is inspired by neurons and neural networks in the brain, the ML implementation of these concepts has diverged significantly from how the brain works. Moreover, as the field of ML progressed over the years, and new complex ideas and techniques have been developed (RNNs, GANs, etc) -- that link has further weakened.