/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

 distill.pub
Branch Specialization
| | blog.otoro.net
Neural Network Evolution Playground with Backprop NEAT |
1.4 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 ...
| | markusmeister.com
Control theory meets connectomes? - Bits, Brains, and Behavior
5.0 parsecs away

Travel
| | My colleagues and I have been working through this intriguing paper [1] from a few weeks ago: Yan, G., Vértes, P.E., Towlson, E.K., Chew, Y.L., Walker, D.S., Schafer, W.R., and Barabási, A.-L. (2017). Network control principles predict neuron function in the Caenorhabditis elegans connectome. Nature advance online publication. This seems like a very important contribution....
| | xcorr.net
2022 in review: neuroAI comes of age - xcorr: AI & neuro
1.2 parsecs away

Travel
| | 2022 has come and gone and we've learned a lot about how the brain is - or isn't - like an artificial neural network. There isn't a single journal or venue that focuses exclusively on neuroAI so the literature is spread across preprint servers, conference proceedings and the occasional prestige journal. As an end-of-year treat,...
| | explog.in
A Simple Neural Network (<200loc, rust)
16.1 parsecs away

Travel
| [AI summary] The user has shared a detailed implementation of a single-layer neural network in Rust, along with its training and evaluation process. They also provided the Cargo.toml file for the project and mentioned the results of running the code. The user is seeking feedback, comments, or suggestions for improvement, and they have included a note about the history of the project.