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www.analyticsvidhya.com | ||
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www.unofficialgoogledatascience.com
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| | | | | by NICHOLAS A. JOHNSON, ALAN ZHAO, KAI YANG, SHENG WU, FRANK O. KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction ... | |
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your-docusaurus-site.example.com
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| | | | | Creative Applications of MLflow Pyfunc in Machine Learning Projects | |
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juliasilge.com
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| | | | | A data science blog | |
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www.paepper.com
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| | | Today's paper: Rethinking 'Batch' in BatchNorm by Wu & Johnson BatchNorm is a critical building block in modern convolutional neural networks. Its unique property of operating on "batches" instead of individual samples introduces significantly different behaviors from most other operations in deep learning. As a result, it leads to many hidden caveats that can negatively impact model's performance in subtle ways. This is a citation from the paper's abstract and the emphasis is mine which caught my attention. Let's explore these subtle ways which can negatively impact your model's performance! The paper of Wu & Johnson can be found on arxiv. | ||
