What is it about?
n recent years, deep learning has attracted widespread attention in many academic fields and the financial industry. Computational intelligence has become a very hot topic. At the same time, with the widespread popularity of machine learning, deep learning has gradually attracted people's interest with more prominent performance. As a very special application scenario, finance has been cross-integrated with deep learning. At the same time, there are many research opportunities in this field. In this article, we try to introduce the application of deep learning in finance from the financial domain and deep learning models.
Featured Image
Photo by Eirc Shi on Unsplash
Why is it important?
Deep learning models have been able to do many tasks that human experts can do, and continue to generate many benefits
Perspectives
With the research results of artificial intelligence in academia, the application of deep learning in the industry will become more and more widely, and the commercial value in the financial field will be achieved through deep learning algorithm technology to achieve better results
biaopei du
Russian people's Friendship University - Department of Economics - Intelligent Commerce (2020)
Read the Original
This page is a summary of: The Application of Deep Learning in the Financial Field, September 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3494583.3494627.
You can read the full text:
Contributors
The following have contributed to this page
