Crazy Stone Deep Learning -The First Edition-

About

"Crazy Stone Deep Learning -The First Edition-" is a Go/Baduk game that utilizes deep neural networks and Monte Carlo Tree Search for improved play. It offers 20 levels of difficulty for various board sizes, with features like handicap games, adjustable komi, hint system, instant undo, and automatic territory calculation. The game boasts a significant strength increase, scoring over 90% against its predecessor.

Genres & Tags

Play Modes

Single-Player Play through the game's story or campaign solo

Crazy Stone Deep Learning -The First Edition- screenshot

70%

Audience ScoreBased on 40 reviews

music1 positive mentions

graphics2 negative mentions

The AI provides a strong challenge and is beneficial for training, especially for weaker players.
The analysis engine is a valuable feature, allowing players to review their games and learn from mistakes.
The game runs smoothly on powerful hardware, providing instant responses during gameplay.

The game is considered overpriced compared to other available options, with many features lacking or underdeveloped.
The user interface is outdated and lacks customization options, making it less user-friendly.
There have been no updates since its release, leading to concerns about its long-term viability and competitiveness against newer AIs.

graphics
2 mentions Positive Neutral Negative
100%
The graphics are described as very basic, offering limited options and choices for customization.
- “The graphics are very basic with few choices.”
- “The graphics are very basic with few choices.”
music
2 mentions Positive Neutral Negative
50%
50%
The music and sound effects in the game are noted for their simplicity, contributing to a comfortable overall experience for players.
- “The interface, music, and sound effects are simple but quite comfortable.”
humor
2 mentions Positive Neutral Negative
100%
The humor in the game is perceived as lacking, with users noting that while the gameplay is strong and human-like, there are no amusing or quirky robot-style moves to enhance the comedic element.