Neural networks has taken the world by storm in the last decade. However, the work has been ongoing since the 1940s. Some of the initial work was in modeling the behavior of a biological neuron mathematically. Frank Rosenblat in 1958 built a machine that showed an ability to learn based on the mathematical notion of a neuron. The process of building neural networks were further refined over the next 4 decades. One of the most important papers that allowed training arbitrarily complex networks appeared in 1986 in a work by David E. Rumelhart, Geoffrey Hinton, and Ronald J. Williams [RHW86]. This paper re-introduced the back-propagation algorithm that is the workhorse of the neural network as used ...
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