Deep neural network (DNN)

For a neural network to be considered a deep neural network (DNN), it is typically complex and usually with at least two layers. Neural networks consist of a series of layers. Each layer performs a successive transformation on data which was passed into the model. Layers usually consist of a linear operation, followed by a simple, elementwise nonlinearity. The composition of many such simple operations can be used to build up any data transformation. At the same time, their relative simplicity means they map well to modern computer hardware. (see also deep learning).

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