English
资源说明：We explore the use of deep learning hierarchical models for problems in financial prediction and classification. Financial prediction
problems – such as those presented in designing and pricing securities, constructing portfolios, and risk management – often involve
large data sets with complex data interactions that currently are difficult or impossible to specify in a full economic model. Applying
deep learning methods to these problems can produce more useful results than standard methods in finance. In particular, deep
learning can detect and exploit interactions in the data that are, at least currently, invisible to any existing financial economic theory.
本源码包内暂不包含可直接显示的源代码文件，请下载源码包。
