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| | In 2024, AI has become a pivotal force reshaping businesses globally. Companies of all sizes and industries must prioritize AI integration for innovation and efficiency. AI has evolved beyond its initial stages, offering transformative potential akin to a co-pilot for operations. A clear AI strategy is imperative, covering data, talent, technology, ethics, and ROI. Real-world examples demonstrate AI's impact, despite challenges. Embracing AI is essential for staying competitive and leading innovation in ...
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| | Artificial Intelligence (AI) is rapidly transforming our daily lives, influencing everything from how we communicate to how we shop and work. As technology a...
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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.