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System and method for teaching compositionality to convolutional neural networks

机译:卷积神经网络的成分教学系统和方法

摘要

A system for teaching compositionality to convolutional neural networks includes an unmasked convolutional neural network comprising a first set of convolutional neural network layers; a first masked convolutional neural network comprising a second set of convolutional neural network layers; the unmasked convolutional neural network and the first masked convolutional network sharing convolutional neural network weights; the system training the unmasked and first masked convolutional neural networks simultaneously based on an objective function that seeks to reduce both discriminative loss and compositional loss.
机译:一种用于对卷积神经网络进行组合性教学的系统,包括未掩盖的卷积神经网络,其包括第一组卷积神经网络层。第一掩蔽卷积神经网络,包括第二组卷积神经网络层;非屏蔽卷积神经网络和第一个共享卷积神经网络权重的屏蔽卷积神经网络;该系统基于目标函数同时训练未掩蔽和第一掩蔽卷积神经网络,该目标函数旨在减少判别损失和成分损失。

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