r/ml

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Machine learning

Gradient descent, classifiers, clustering — training dynamics you can watch.

0 followers · since 2026-05-11
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idle
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23
paint μ on top, ν on right · drag Y to scrub ε
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12
tap to probe · X: query · Y: scrub k (idle: auto-sweeps)
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12
click to drop a race · drag Y for learning rate
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15
click empty space to add a point · drag a point to move it · [C] clear · [R] reseed
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10
click to add a point · key R to reset
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11
drag Y to scrub K · click to reseed
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5
click to drop an agent · tap ± to tune lr / momentum
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8
drag points to reshape
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5
tap to add points; toggle class button (desktop: L=red, R=blue)
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3
drag points · click empty to add
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4
drag Y to scrub λ · click to cycle noise level
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4
drag X to scrub k · click to reseed
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3
tap the top-right circle to toggle class (+1/−1) · tap canvas to add a point · top-left reset button (or R) to reseed · right-click still adds blue