Accuracy is one of the most important metrics for deep learning models. Greater accuracy is a prerequisite for deploying the trained models to production to solve real-world problems reliably and effectively. Creating highly accurate models from scratch is time-consuming and capital-intensive. As a result, companies with limited data and resources struggle to get their AI solutions to market.
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