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OPTIMIZATION FOR DNN CONPOSITION WITH REAL-TIME INFERENCE IN MOBILE ENVIRONMENT

机译:移动环境中实时推断的DNN构成优化

摘要

And at least one processor implemented to execute computer readable instructions, wherein the at least one processor uses a deep neural network (DNN) -based style transfer model using an image of a specific style to be learned. It includes a learning unit for learning, and the style transfer model provides a system characterized by being a DNN model having a structure in which the number of deep layers is reduced through a transfer learning method using a previously learned result.
机译:并且至少一个处理器被实现为执行计算机可读指令,其中,至少一个处理器使用基于深度神经网络(DNN)的样式传递模型,该模型使用要学习的特定样式的图像。它包括用于学习的学习单元,并且样式传递模型提供一种系统,其特征在于是DNN模型,其结构是通过使用先前学习的结果的传递学习方法来减少深层的数目。

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