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EARLY INFERENCE BASED DEEP LEARNING DEVICE AND METHOD THEREOF

机译:基于早期推理的深度学习装置及其方法

摘要

The present invention relates to an early inference based deep learning device capable of determining the effective position and number of additional output layers with low complexity and connecting an output layer only between relatively high accuracy layers by using the same, and a method thereof. The early inference based deep learning device according to the present invention can comprise: a multi-output collection part collecting intermediate output values in all layers of a pre-learned deep learning network; an output layer position inference part clustering the collected intermediate output values for each layer to infer an additional output layer position; and a network learning part that forms a new deep learning network by connecting an output layer to the inferred additional output layer position, and learns the formed new deep learning network.;COPYRIGHT KIPO 2020
机译:基于早期推理的深度学习设备及其方法技术领域本发明涉及一种基于早期推理的深度学习设备,其能够以较低的复杂度来确定附加输出层的有效位置和数量,并通过使用该输出层仅在相对较高的精度层之间连接输出层。根据本发明的基于早期推理的深度学习设备可以包括:多输出收集部分,其在预学习的深度学习网络的所有层中收集中间输出值;以及输出层位置推断部将收集的各层的中间输出值聚类,以推断出附加的输出层位置。 COPYRIGHT KIPO 2020;网络学习部分,通过将输出层连接到推断的附加输出层位置来形成新的深度学习网络,并学习形成的新的深度学习网络。

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