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Deep neural networks (DNNs) can be one or more ANNs with multiple hidden layers between the input and output layers. DNNs can model complex non-linear relationships. DNNs can generate models where the object is expressed as a layered composition. DNNs can be feedforward networks in which data flows from the input layer to the output layer without looping back, DNNs can be recurrent neural networks or convolutional deep neural networks.

Added by DJM Jan 2024