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Supervised Learning: Neural Networks
| | michael-lewis.com
A machine learning glossary for hackers ยท Michael I Lewis
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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.
| | bytepawn.com
Bytepawn - Marton Trencseni - PyTorch Basics: Solving the Ax=b matrix equation with gradient descent
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| | I will show how to solve the standard A x = b matrix equation with PyTorch. This is a good toy problem to show some guts of the framework without involving neural networks.
| | www.3blue1brown.com
3Blue1Brown - Gradient descent, how neural networks learn
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| | An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
| | teddykoker.com
Histopathologic Cancer Detection with Transfer Learning | Teddy Koker
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| In this post we will be using a method known as transfer learning in order to detect metastatic cancer in patches of images from digital pathology scans.