Training of neural networks for efficient implementation on hardware

摘要

Method (100) for training an artificial neural network, ANN (1), which comprises a plurality of neurons (2), with the following steps: a measure for the quality (11) that the ANN (1) within a in the past period, determined (110); • one or more neurons (2) are evaluated (120) using a measure for their respective quantitative contributions (21) to the determined quality (11); measures (22) with which the evaluated neurons (2) are each trained in the further course of the training, and / or place values (23) of these neurons (2) in the ANN (1) are determined (130) on the basis of the evaluations (120a) of the neurons (2). The method (200) according to claim 11, wherein an arithmetic logic unit (4) is selected (205a), which hardware resources for a predetermined number of neurons (2), layers (3a, 3b) of neurons (2) and / or connections (25) between neurons (2), and wherein a model (1a) of the ANN (1) is selected (205b), the number of which hl on neurons (2), layers (3a, 3b) of neurons (2) and / or connections (25) between neurons (2) exceeds the predetermined number.