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CrazyStone DeepLearning1.0.8

CrazyStone DeepLearning v1.0.8

Downloads: 931


Free

CrazyStone DeepLearning / Specifications

CrazyStone DeepLearning / Screenshots

CrazyStone DeepLearning 1.0.8
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CrazyStone DeepLearning / Description

The strongest the best Go app in the world based on Crazy Stone employing Deep Learning technology !

Crazy Stone has made a huge step forward by combining Deep Neural Networks with Monte Carlo Tree Search.
The highest level of CrazyStone DeepLearning Pro has achieved 5d in kgs rating and in this lite version
we have provided you the highest level of 2d for FREE!

* 17 levels of play from 15k to 2d
There are 17 levels of play (15k-2d) for all the board sizes.
Crazy Stone has improved not only in strength but also in his style of play
and the lower levels are perfect for players who want to learn the game of Go.

* Export and import sgf game files
You will be able to import and export game records in sgf format from other apps.
Also you can copy game record data to the clipboard.

* Other features
・Friendly 3 input methods
You can choose from 3 options of input methods (Zoom Cursor & Touch).
・17 levels of play for each board size (9x9 13x13 19x19)
・Human vs Computer Human vs Human (sharing a single device)
・Computer vs Computer Games
・Handicap games variable options of Komi
・Hint (suggest)
・Instant Undo (available even when the computer is thinking)
・Automatic territory calculation
・Japanese/Chinese Rules
・Suspend/Re-start games
・Save/Load game record in sgf files
・Automatic and manual replay of a game record
・Highlight the last move
・COM resign feature
・Byoyomi games
(You will not be able to select computer level in timed games)
・Atari warning
・Highlight the last move
・Play speed can be adjusted


In the paid version of CrazyStone DeepLearning Pro the highest level is 5d.
There are more features such as Analysis mode and Rating mode.

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CrazyStone DeepLearning / What's New in v1.0.8

Stability improvements

Choose Download Locations for CrazyStone DeepLearning v1.0.8



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CrazyStone DeepLearning / Tags

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