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<title>ctak/src/train5.py, branch stats</title>
<subtitle>An implementation of Tak and a computer opponent in C</subtitle>
<id>https://git.l-3.space/ctak/atom?h=stats</id>
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<updated>2026-08-28T18:37:41Z</updated>
<entry>
<title>Syntax errors, small tweak to training data generation</title>
<updated>2026-08-28T18:37:41Z</updated>
<author>
<name>tslil clingman</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-01-29T19:05:06Z</published>
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<id>urn:sha1:fcface1079b1c44c7ccca3d117c698347c978f20</id>
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</content>
</entry>
<entry>
<title>Added license information!</title>
<updated>2026-08-28T18:37:41Z</updated>
<author>
<name>tslil clingman</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-01-29T02:30:30Z</published>
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<id>urn:sha1:a77062ce3dc9a99ad0662010cc7eeb00dd5036a6</id>
<content type='text'>
</content>
</entry>
<entry>
<title>In-lined score reporting</title>
<updated>2026-08-28T18:37:41Z</updated>
<author>
<name>tslil clingman</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-01-18T17:28:11Z</published>
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<id>urn:sha1:092d01aa766f2f7fd7e9bbceaf71cff29188b328</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Finally fixed memory order of weights!</title>
<updated>2026-08-28T18:37:41Z</updated>
<author>
<name>tslil clingman</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-01-18T16:44:50Z</published>
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<id>urn:sha1:c1750c0cb93a7b4ba70e1342eaa7c62e659f1dc5</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Went back up to 1986 weights</title>
<updated>2026-08-28T18:37:41Z</updated>
<author>
<name>tslil</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-01-16T19:08:46Z</published>
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<id>urn:sha1:50b9955b040005e489127a11cf9c1648438a6266</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Fixed minimax (!), fixed bugs in tak.c</title>
<updated>2026-08-28T18:37:41Z</updated>
<author>
<name>tslil</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-01-14T04:41:32Z</published>
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<id>urn:sha1:cf7d665598e34e32d258775b583968e758c8f2fb</id>
<content type='text'>
With minimax of depth 1 the evaluation function seems alright with the
current method of training and generating weights
</content>
</entry>
<entry>
<title>Auto-generating weights</title>
<updated>2026-08-28T18:37:41Z</updated>
<author>
<name>tslil</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-01-12T22:01:29Z</published>
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<id>urn:sha1:91640db661fdcc04960d1f048ac60c2c4b2c5319</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Generate the correct format directly</title>
<updated>2026-08-28T18:37:41Z</updated>
<author>
<name>tslil</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-01-12T21:48:41Z</published>
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</content>
</entry>
<entry>
<title>one output (of course), Pade approximant of logistic for activation</title>
<updated>2026-08-28T18:37:41Z</updated>
<author>
<name>tslil</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-01-12T20:51:48Z</published>
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<id>urn:sha1:a96ec5a74093eb800d14e143b81302d3e0905b85</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Working version of this script</title>
<updated>2026-08-28T18:37:41Z</updated>
<author>
<name>tslil</name>
<email>tslil@posteo.de</email>
</author>
<published>2021-01-12T05:20:37Z</published>
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