N Neurarch All checks Caught bugs Docs Open the app

Checks / performance

Very high dropout rate

Check R13. Runs in the editor as you build, in CI through the GitHub Action, and over the wire at POST /api/v1/check. Milliseconds, before any GPU is billed.

warn performance R13
TriggerAny dropout layer with p > 0.65.
WhyCommon dropout rates are 0.1 to 0.5. Anything above 0.65 usually indicates a typo or a confused regularization strategy.

Why it is not a lint you can ignore

A structural mistake does not fail at review time and it does not fail at import time. It fails when the module is constructed on the training node, after the job was queued and the dataset was downloaded. That is why this runs before the spend and not after it.
Run this check on your own model Free, no account needed

Every check

41 structural checks: 6 guardrail gates and 35 architecture advisor rules. See the full catalogue.

← R12 Deep network with no normalization  ยท  R14 Very large activation tensor →