Using deep neural networks for chess position evaluation
This paper presents a neural network, based on Giraffe by Lai, that evaluates chess positions. It relies on deep neural networks and supervised learning. The paper aims to compare and suggest improvements to the neural network by following the architecture and feature selection of Lai’s Giraff...
Saved in:
Main Author: | Phang, Benito Yan Feng |
---|---|
Other Authors: | He Ying |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/166011 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Deep learning and computer chess
by: Low, Benedict Yu
Published: (2021) -
Deep learning and computer chess (part 1)
by: Pereddy Vijai Krishna Reddy
Published: (2020) -
Deep learning and computer chess (part 2)
by: Xu, Shiguang
Published: (2022) -
Deep learning for computer chess (part 1)
by: Arora, Manav
Published: (2022) -
Stock trading prediction using deep learning neural networks
by: Ong, Hao Cong
Published: (2021)