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www.amitkohli.com | ||
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nikgrozev.com
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| | | | | This article overviews how to quickly set up and get started with the pandas data analysis library. It also lists common code snippets for parsing, loading, ... | |
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sebastianraschka.com
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| | | | | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs). | |
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tothepoles.co.uk
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| | | | | There is a Jupyter Notebook accompanying this post HERE. NumPy is a Python package built around the concept of ndarrays (n-dimensional arrays) along with a suite of efficient functions for applying operations over those arrays. Many of the other important packages for data scientists are built on top of NumPy (e.g. Pandas, scikit-learn). In the... | |
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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. | ||
