Go & Neural Net

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Issue:

Miscellaneous

 

Written by:

Kelli S

 

Date added:

June 8, 2014

 

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Grade:

A

 

No of pages / words:

3 / 783

 

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906 times

 

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Essay content:

(The winner of a go game is the player who controls more points at the end of the game, after making a small adjustment to eliminate the first player's advantage.) That gives the networks more information to learn from. Features of a go position are approximately translation-invariant. In other words, a configuration of stones is about as valuable in one place as another, all else being equal, although it may depend on how close it is to the edge of the board...
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In other words, a configuration of stones is about as valuable in one place as another, all else being equal, although it may depend on how close it is to the edge of the board. A network which does not take this into account will have to learn the value of each configuration at each location it can appear...
displayed 300 characters

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