The complete pipeline for shipping ML on Android — from converting a model to running inference at 35 ms on-device, with the code, the pitfalls, and the performance rules. Three years ago, a health-tech client wanted a screening feature in their Android app: point the camera at a skin image, and get a risk score locally, with no network call. The... Weiterlesen
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