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mbuffett.com
| | 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.
4.1 parsecs

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| | codeincomplete.com

Personal Website for Jake Gordon
3.9 parsecs

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| | sirupsen.com

[AI summary] An educational guide explaining how to build a neural network from scratch using Python, covering concepts like layers, gradient descent, autograd, and activation functions.
4.3 parsecs

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| | web.navan.dev

Tutorial on creating an image classifier model using TensorFlow which detects malaria
10.6 parsecs

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