Sebastian Raschka • 3/24/2022

TorchMetrics

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This article provides a hands-on tutorial on using the TorchMetrics library for PyTorch. It explains the key difference between the .update() and .forward() methods, crucial for correctly computing metrics like accuracy iteratively during model training on minibatches. The post includes a code example comparing manual accuracy calculation with the TorchMetrics approach.

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#metrics #Deep Learning #Model Evaluation
TorchMetrics

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