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siboehm.com | ||
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www.paepper.com
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| | | | | New blog series: Deep Learning Papers visualized This is the first post of a new series I am starting where I explain the content of a paper in a visual picture-based way. To me, this helps tremendously to better grasp the ideas and remember them and I hope this will be the same for many of you as well. Today's paper: Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour by Goyal et al. The first paper I've chosen is well-known when it comes to training deep learning models on multiple GPUs. Here is the link to the paper of Goyal et al. on arxiv. The basic idea of the paper is this: when you are doing deep learning research today, you are using more and more data and more complex models. As the complexity and size rises, of course also the computational... | |
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dennybritz.com
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| | | | | All the code is also available as an Jupyter notebook on Github. | |
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michael-lewis.com
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| | | | | This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background. | |
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www.index.dev
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| | | Learn all about Large Language Models (LLMs) in our comprehensive guide. Understand their capabilities, applications, and impact on various industries. | ||
