Training method and system for stress management and mental health care of managers based on deep learning

In recent years, with the rapid development of the economy, in order to stabilize in the market and expand their own business, various companies in the form of various indicators, tangible or intangible to improve the management of the work of workers, speed up the pace of work, take up more work time. This article studies its relationship with stress management from the perspective of psychological capital, in order to achieve prior control of work stress from the perspective of individual positive psychological capital, and provide a new perspective for work stress management in the field of human resource management, and at the same time Enterprises and colleges and universities improve the psychological capital of employees and provide new management models. The unreasonable distribution of work even affects the daily life of management workers and aggravates the working pressure of company management workers. The training process of deep learning is actually the process of repeated forward and reverse calculations of the deep neural network based on the provided data. This process can actually be abstracted, and the deep learning framework is designed to accomplish this task. The existence of a deep learning framework allows users not to fully understand the principles and training process of deep neural networks, but can effectively train the models they want. A long time of high mental state tension leads to a variety of physical and psychological discomfort. If the pressure cannot be alleviated and released, this article extends the health collection equipment of the deep learning to households, continuously records the health status of residents through the mobile Internet, and uses the information resources of the regional residents' health file platform to provide residents with health status evaluation, management and guidance, health care consultation, education and education. A series of personal health management services such as health risk factor assessment. The positive emotion index of managers increased from 18 to 27, and the negative emotion index decreased from 29 to 13. The positive emotion was significantly more than the negative emotion, and the emotional situation was improved.