/explore

Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.
You are here

 sander.ai
My solution for the Galaxy Zoo challenge - Sander Dieleman
| | michael-lewis.com
A machine learning glossary for hackers ยท Michael I Lewis
1.1 parsecs away

Travel
| | 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.
| | vankessel.io
Introduction to Neural Networks | Kara van Kessel
1.5 parsecs away

Travel
| | A blog for my thoughts. Mostly philosophy, math, and programming.
| | www.khanna.law
Structuring Deep Learning Projects
1.1 parsecs away

Travel
| | You want to train a deep neural network. You have the data. It's labeled and wrangled into a useful format. What do you do now?
| | blog.otoro.net
Neural Network Evolution Playground with Backprop NEAT |
9.9 parsecs away

Travel
| [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 ...