Sebastian Raschka • 7/5/2022

No, We Don't Have to Choose Batch Sizes As Powers Of 2

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This technical article critically analyzes the deep learning convention of setting batch sizes to powers of 2 (e.g., 64, 128). It explores the theoretical justifications, such as memory alignment and GPU efficiency for matrix operations, and discusses whether this practice is always necessary or beneficial in practical training scenarios.

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#memory alignment #Neural Networks #Deep Learning
No, We Don't Have to Choose Batch Sizes As Powers Of 2

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