"Parallel Training Considered Harmful?": Comparing series-parallel and parallel feedforward network training

21 Jun 2017Antônio H. RibeiroLuis A. Aguirre

Neural network models for dynamic systems can be trained either in parallel or in series-parallel configurations. Influenced by early arguments, several papers justify the choice of series-parallel rather than parallel configuration claiming it has a lower computational cost, better stability properties during training and provides more accurate results... (read more)

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