Guided code synthesis using deep neural networks

Carol V. Alexandru
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引用次数: 11

Abstract

Can we teach computers how to program? Recent advances in neural network research reveal that certain neural networks are able not only to learn the syntax, grammar and semantics of arbitrary character sequences, but also synthesize new samples `in the style of' the original training data. We explore the adaptation of these techniques to code classification, comprehension and completion.
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引导代码合成使用深度神经网络
我们能教计算机如何编程吗?神经网络研究的最新进展表明,某些神经网络不仅能够学习任意字符序列的句法、语法和语义,而且能够“以”原始训练数据的“风格”合成新的样本。我们探讨了这些技术在代码分类、理解和补全方面的适应性。
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