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COOPERATIVE NEURAL NETWORKS WITH SPATIAL CONTAINMENT CONSTRAINTS

机译:具有空间遏制约束的合作神经网络

摘要

Methods, systems, and computer program products for cooperative neural networks with spatial containment constraints are provided herein. A computer-implemented method includes dividing a processing task into multiple sub-tasks; training multiple independent neural networks, such that at least some of the multiple sub-tasks correspond to different ones of the multiple independent neural networks; defining, based at least in part on constraint-based domain knowledge related to the processing task, at least one constraint loss for a given one of the multiple sub-tasks, the at least one constraint loss being dependent on output from at least one of the other multiple sub-tasks; and re-training at least a portion of the multiple independent neural networks, the re-training being dependent on using the at least one constraint loss.
机译:本文提供了具有空间容纳限制的协同神经网络的方法,系统和计算机程序产品。 计算机实现的方法包括将处理任务划分为多个子任务; 训练多个独立的神经网络,使得至少一些多个子任务对应于多个独立神经网络的不同组织; 至少部分地基于与处理任务相关的基于约束的域知识,给定的多个子任务中的给定之一的至少一个约束损耗,该约束损失依赖于至少一个的输出 其他多个子任务; 并重新训练多个独立神经网络的至少一部分,重新训练依赖于使用至少一个约束损失。

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