Tag: ModelCapacity
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Expert: model capacity and overfitting trade-offs
Understanding model capacity and overfitting trade-offs is essential for designing high-performing, generalizable machine learning systems. This article explores how model capacity affects bias and variance, how overfitting manifests in deep models, and what strategies expert practitioners use to optimize complexity without sacrificing generalization.
