The ChessAIThon project (2025-1-ES01-KA220-VET-000354329) is co-funded by the European Union. The views and opinions expressed in this publication are those of the author(s) only and do not necessarily reflect those of the European Union or the Spanish Service for the Internationalisation of Education (SEPIE). Neither the European Union nor the National Agency SEPIE can be held responsible for them.
Table of Contents
Convolutional Neural Networks (CNNs) are the foundation of Deep Learning (DL) in modern chess AI, chosen for their exceptional ability to recognize spatial patterns.
Analogy (The Board as an Image): For teachers, the key is to explain that the chessboard, being an 8x8 grid, is analogous to a digital image. CNNs are the computer's "super-smart eyes", specializing in scanning this canvas to detect important details, just as they are used in facial recognition or object detection in autonomous vehicles.