Training a Segmentation Model on a Colab TPU Runtime and Exporting It to LiteRT for Android
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Trains a segmentation model on a Colab TPU runtime and documents exactly what breaks converting it to LiteRT for an Android edge deployment.
Read →CI/CD, infrastructure as code, observability, and the automation that turns a working prototype into something a team can operate.
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Trains a segmentation model on a Colab TPU runtime and documents exactly what breaks converting it to LiteRT for an Android edge deployment.
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A Gemini model version bump can silently change what your app refuses, and no normal test suite catches it. Here is a CI gate that does.
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A sheet-metal shop retrained MediaPipe Model Maker for gloved hands - it fixed the classifier, but the frozen palm detector still capped end-to-end accuracy.
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A working TensorFlow model does not need a rewrite for Gemini Enterprise Agent Platform (formerly Vertex AI). Wrap it in a container and deploy.
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Hashnode is winding down, so I rebuilt my blog as static pages generated from markdown, with comments and view counts on Cloudflare Workers.
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Mentoring 70+ students through Google Cloud Study Jams and earning the Associate Cloud Engineer certification along the way.
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