Sebastian Raschka • 3/24/2022

TorchMetrics

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This article provides a tutorial on using the TorchMetrics library for iterative model evaluation in PyTorch. It clarifies the practical difference between the .update() and .forward() methods, using a hands-on example of computing classification accuracy across minibatches to reduce boilerplate code.

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#metrics #Deep Learning #Model Evaluation
TorchMetrics

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