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thenumb.at | ||
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michael-lewis.com
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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jingnanshi.com
Tutorial on automatic differentiation |
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windowsontheory.org
(Updated and expanded 12/17/2021) I am teaching deep learning this week in Harvard's CS 182 (Artificial Intelligence) course. As I'm preparing the back-propagation lecture, Preetum Nakkiran told me about Andrej Karpathy's awesome micrograd package which implements automatic differentiation for scalar variables in very few lines of code. I couldn't resist using this to show how... |
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wtfleming.github.io
[AI summary] This article demonstrates how to achieve 98.6% accuracy in binary image classification of cats and dogs using Keras and transfer learning with the VGG16 model. |
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