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www.petercollingridge.co.uk
| | blog.otoro.net

[AI summary] This article describes a project that combines genetic algorithms, NEAT (NeuroEvolution of Augmenting Topologies), and backpropagation to evolve neural networks for classification tasks. The key components include: 1) Using NEAT to evolve neural networks with various activation functions, 2) Applying backpropagation to optimize the weights of these networks, and 3) Visualizing the results of the evolved networks on different datasets (e.g., XOR, two circles, spiral). The project also includes a web-based demo where users can interact with the system, adjust parameters, and observe the evolution process. The author explores how the genetic algorithm can discover useful features (like squaring inputs) without human intervention, and discusses the ...
9.6 parsecs

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| | iandevlin.com


10.5 parsecs

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| | frankforce.com

Hello size coding fans. Today, I have something amazing to share: A tiny raycasting engine and city generator that fits in a standalone 256 byte html file. In this post I will share all the secrets...
8.9 parsecs

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| | 11ty.rocks

Begin from a blank directory and build up your first Eleventy site. Includes gotchas along the way, why they happen, and how to resolve them. You'll create essential layouts while learn the basics of using Nunjucks and Markdown for templating. And you'll learn to work with local data and external API data. As a bonus, get setup to deploy your final site to Netlify.
50.1 parsecs

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