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Deep leing has been widely applied in computer vision,natural language processing,and audio-visual recognition.The overwhelming success of deep leing 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 leing in finance and banking services has become prevalent.However,a detailed survey of the applications of deep leing in finance and banking is lacking in the existing literature.This study surveys and analyzes the literature on the application of deep leing 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 leing models.This study provides academics and practitioners with insight and direction on the state-of-the-art of the application of deep leing models in finance and banking.