https://ift.tt/087DsqC Evaluating Deep Learning models is an essential part of model lifecycle management. Whereas traditional models have ...
Evaluating Deep Learning models is an essential part of model lifecycle management. Whereas traditional models have excelled at providing quick benchmarks for model performance, they often fail to capture the nuanced goals of real-world applications. For instance, a fraud detection system might prioritize minimizing false negatives over false positives, while a medical diagnosis model might […]
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