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Deploying vision models to the edge: quantization and latency
Training a computer vision model and deploying that model on a real device are two different engineering disciplines. A network that achieves excellent accuracy in a cloud notebook with a powerful GPU
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From pickle to production: wrapping a model in a real API that won’t fall over
Training a machine learning model is only half the job. The other half is making it available reliably, safely, and predictably.