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About Application of Deep Learning in Stock Market - Recent Progess
This document summarizes recent applications of deep learning techniques for stock market prediction. It reviews papers from the past 3 years that use various deep learning models like feedforward neural networks, convolutional neural networks and recurrent neural networks. It categorizes the different data sources and network structures used, as well as evaluation metrics. It emphasizes the importance of implementing and reproducing prior studies to serve as baselines. Finally, it highlights some promising future research directions in this area.
Detailed Information
| Author: | ['yuzukieba'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 97 |
| Language: | English |
| Format: | |
| Price: | FREE |
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