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Deep learning in finance and banking:A literature review and classification

机译:金融和银行业的深度学习:文献综述和分类

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摘要

Deep learning has been widely applied in computer vision,natural language processing,and audio-visual recognition.The overwhelming success of deep learning as a data processing technique has sparked the interest of the research community.Given the proliferation of Fintech in recent years,the use of deep learning in finance and banking services has become prevalent.However,a detailed survey of the applications of deep lerning in finance and banking is lacking in the existing literature.This study surveys and analyzes the literature on the application of deep lerning models in the key finance and banking domains to provide a systematic evaluation of the model preprocessing,input data,and model evaluation.Finally,we discuss three aspects that could affect the outcomes of financial deep learning models.This study provides academics and practitioners with insight and direction on the state-of-the-art of the application of deep learning models in finance and banking.
机译:深入学习已广泛应用于计算机视觉,自然语言处理和视听认可。深入学习作为数据处理技术的压倒性成功引发了研究界的兴趣。近年来金融气的扩散在金融和银行服务的深度学习的利用已经普遍存在。但是,在现有的文献中缺乏对金融和银行业深入的应用的详细调查。本研究调查并分析了深入兴新模型应用的文献。关键金融和银行域提供了对模型预处理,输入数据和模型评估的系统评估。最后,我们讨论了可能影响财务深度学习模型结果的三个方面。本研究为学术界和从业者提供了洞察和方向论金融与银行业深层学习模式的应用。

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