Deep learning and computer chess: Giraffe
This study aims to bridge the gap between advanced machine learning techniques and strategic game theory, embracing the transformative impact of Artificial Intelligence in the world of chess. It focuses on building a deep-learning chess engine, Giraffe, which is the first-ever neural network model t...
Saved in:
Main Author: | Chan, Eu Ching |
---|---|
Other Authors: | He Ying |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175086 |
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 (Part 1): using neural networks for chess evaluation functions
by: U, Jeremy Keat
Published: (2024) -
Deep learning and computer chess
by: Ding, CongCong
Published: (2022) -
Deep learning in computer chess
by: Zhao, Yu
Published: (2023) -
Deep learning and computer chess
by: Low, Benedict Yu
Published: (2021) -
Deep learning and computer chess (part 1)
by: Ngui, Seng Yang
Published: (2020)