ELECTRONIC DEVICE AND CONTROL METHOD THEREOF

Disclosed is an electronic device. The present electronic device includes: a memory; and a processor which quantizes a neural network, trained on the basis of deep learning, to generate a quantized neural network, and stores the quantized neural network in the memory, wherein the processor quantizes, in preset first bit units, trained connection strengths between neurons of the trained neural network, inverse-quantizes the quantized connection strengths in preset second bit units, retrains the inverse-quantized connection strengths, and quantizes the retrained connection strengths in the preset first bit units. 公开了一种电子装置。本电子装置包括：存储器；以及处理器，对基于深度学习训练的神经网络进行量化以生成量化的神经网络，并且将量化的神经网络存储在所述存储器中，其中，所述处理器以预设的第一比特单位对训练的神经网络的神经元之间的训练的连接强度进行量化，以预设的第二比特单位对量化的连接强度进行反量化，对反量化的连接强度进行再训练，并且以预设的第一比特单位对再训练的连接强度进行量化。