# Crazy Stone Deep Learning: AI Go Engine Evolution with 20 Difficulty Levels

> Experience Crazy Stone Deep Learning - The First Edition-, an AI Go engine powered by Deep Neural Networks. Features 20 difficulty levels fo

Release date: 2016-05-26
Tags: strategy, casual, board-game
Source: https://store.steampowered.com/app/479330/
Article page: https://web-autoai.com/articles/crazy-stone-deep-learning-ai-go-engine-evolution?lang=en

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## Overview
Crazy Stone Deep Learning - The First Edition- represents a significant leap forward in artificial intelligence for the ancient game of Go. Developed by UNBALANCE Corporation and Rémi Coulom SAS, this title leverages cutting-edge Deep Neural Networks combined with Monte Carlo Tree Search. It replaces traditional pattern databases with sophisticated deep convolutional neural networks, resulting in a dramatically improved playing strength.

## Highlights
*   Features 20 distinct levels of play, ranging from 13k to 7d, available across multiple board sizes (9x9, 13x13, and 19x19).
*   Developed by UNBALANCE Corporation and Rémi Coulom SAS, this strategy board game utilizes advanced AI techniques.
*   Released on May 26, 2016, it offers both Human vs Computer and Computer vs Computer modes, with a focus on strategic depth.

## Who It's For
This game is an excellent choice for Go enthusiasts looking to challenge themselves against a powerful AI. The inclusion of 20 difficulty levels ensures that players of all skill levels, from beginners to seasoned players, can find a suitable opponent. The AI's improved style of play at lower levels makes it particularly beneficial for average players aiming to refine their strategy and understanding of the game.

## Game Info
Crazy Stone Deep Learning - The First Edition- is a digital board game that brings the complexity of Go to your computer. It supports multiplayer interactions, allowing for human versus computer matches. The game is available in English and was released in 2016. Its core gameplay revolves around strategic decision-making on a Go board, enhanced by a powerful AI engine.
