Back-propagation. IT & Computer Science Assignment (Essay Sample)

Backpropagation
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What is Backpropagation?
This is a standard mathematical tool used to train neural networks. It was invented in the 1970s but was not appreciated until 1986 when Rumelhart and his co-authors published a paper on learning representations utilizing the method. The method uses the error rate to fine-tune the weights of the neural network by adjusting according to the previous iteration. The tool is used to improve predictions in machine learning and data mining. Artificial neural networks use the method to compute a gradient descent with regard to weights. The algorithm is used in optical character recognition, image processing, artificial intelligence and natural language processing (Rouse, 2015).