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QUERY OPTIMIZATION FOR DEEP CONVOLUTIONAL NEURAL NETWORK INFERENCES

机译:深度卷积神经网络推断的查询优化

摘要

A method may include generating views materializing tensors generated by a convolutional neural network operating on an image. Determining the outputs of the convolutional neural network operating on the image with a patch occluding various portions of the image. The outputs being determined by generating queries on the views that performs, based at least on the changes associated with occluding different portions of the image, partial re-computations of the views. A heatmap may be generated based on the outputs of the convolutional neural network. The heatmap may indicate the quantities to which the different portions of the image contribute to the output of the convolutional neural network operating on the image. Related systems and articles of manufacture, including computer program products, are also provided.
机译:一种方法可以包括生成通过在图像上运行的卷积神经网络产生的塑造张量的视图。 用遮挡图像的各种部分的贴片确定在图像上操作的卷积神经网络的输出。 至少通过在与遮挡图像的不同部分相关联的改变上生成执行的查询来确定的输出,部分重新计算视图的部分重新计算。 可以基于卷积神经网络的输出生成热图。 热线图可以指示图像的不同部分的量有助于在图像上操作的卷积神经网络的输出。 还提供了相关系统和制品,包括计算机程序产品,包括计算机程序产品。

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