Inference process in Deep Learning [Complete Guide]

Abstract

Inference is the process of applying trained models to new data for predictions. It plays a vital role in real-world applications, enabling insights, automation, and real-time responses. Throughput measures task efficiency, while latency indicates prediction delay. Top-K accuracy assesses model performance, and precision encompasses numerical representation. This article also highlights the significance of inference in harnessing AI's potential across diverse domains.

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