Abstract
As the economy enters the new normal, more and more risk problems are exposed in the financial market, and the market supervision system is still not perfect. Preventing financial risks has become the focus of domestic attention. Ubiquitous risks have increasingly become the "sword of Damocles" hanging over the main body of financial markets. Due to the differences in regional economic development, regional financial risks will become more complicated, which is likely to lead to a nationwide financial crisis. The application of DL (Deep Learning) has become the research frontier in the field of financial risk management, which will surely bring about subversive changes in the field of financial risk management. Through DL, we can quantitatively evaluate the financial risks in different fields, closely monitor the key industries and fields with the highest regional financial risk distribution, strengthen risk monitoring and analysis, promptly use risk warning letters, situation reports and other forms to prompt risks, prevent the spread and spread of risks in specific industries or fields, and do a good job in risk prevention and response. In order to effectively identify regional financial risks, timely understand and master the distribution and impact of various risks, and do a good job in risk monitoring and prompting.
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