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| | dennybritz.com
2.3 parsecs away

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| | All the code is also available as an Jupyter notebook on Github.
| | michael-lewis.com
2.8 parsecs away

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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.
| | marcospereira.me
3.2 parsecs away

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| | In this post we summarize the math behind deep learning and implement a simple network that achieves 85% accuracy classifying digits from the MNIST dataset.
| | www.superannotate.com
15.6 parsecs away

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| Dive into LLM fine-tuning: its importance, types, methods, and best practices for optimizing language model performance.