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Add the ledger schema, class router, lint codes, ingest/build pipeline, and three work-tree examples: align derivation, superfig delegation, and supertensor delegation.
292 B
292 B
A One-Step Predictor (fixture)
We predict \hat y = f_\theta(x) in one forward pass. The loss
L(\hat y, y) is computed after the prediction; it is not a station
on the forward path.
The scale 1/\sqrt{d} is introduced so that the variance of the
inner product does not grow with d.