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System and method for teaching compositionality to convolutional neural networks

机译:卷积神经网络教学组成的系统和方法

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:用于卷积神经网络的构成性的系统包括未掩蔽的卷积神经网络,包括第一组卷积神经网络层; 第一掩模卷积神经网络,包括第二组卷积神经网络层; 未掩蔽的卷积神经网络和第一个掩盖卷积网络共享卷积神经网络权重; 该系统同时训练取消掩蔽和第一掩蔽卷积神经网络,该目的是寻求降低鉴别性损失和组成损失的目标函数。

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