int
ee48cb87bd
KNP_W_RANGE option; weight range does not explain object gap
...
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-15 06:56:14 +03:00
int
64fc5161e0
Error-driven dopamine (delta-rule) training mode in KNP: network option, isolated backend
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Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-15 04:58:42 +03:00
int
795f75a65b
KNP_COL_PUNISH: dopamine punishment of wrong columns; learned k-means features for objects; extra data fetcher
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Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-14 21:06:28 +03:00
int
db4b1d08b8
ON/OFF input coding for mnist-learn: KNP_MNIST_INPUT_SIZE, dataset builder, simulator --pix
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Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-14 18:35:27 +03:00
int
8f43927575
Initial import: KNP experiments (examples, viz, cats-dogs, reports)
...
examples/ is based on KasperskyLab/knp at 55470ed6 with local changes
to the mnist-learn altai/blifat models, cuda-backend CMake and model_loader.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-14 18:17:15 +03:00
