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Nov, 2015
神经程序员-解释器
Neural Programmer-Interpreters
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Scott Reed, Nando de Freitas
TL;DR
本文提出了神经程序解释器模型,采用循环神经网络和可组合结构,具有记忆、编解码器和泛化等特点,通过示例学习和组合,有效降低了学习难度和提高了通用性。该模型已在进行了多种计算任务的学习和执行,并表现出良好的性能。
Abstract
We propose the
neural programmer-interpreter
(NPI): a recurrent and compositional neural network that learns to represent and execute programs. NPI has three learnable components: a task-agnostic recurrent core, a persistent key-value
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