
Attention and Augmented Recurrent Neural Networks
A visual overview of neural attention and the extensions of recurrent neural networks (Chris Olah & Shan Carter).
Computer Science
Research journal of interactive machine-learning articles.
distill.pub5 selected projects, with credit and a path to the original.

A visual overview of neural attention and the extensions of recurrent neural networks (Chris Olah & Shan Carter).

How neural networks build up their understanding of images (Olah, Mordvintsev & Schubert).

Interactive tour of the components needed to build learning algorithms on graphs.

Explore millions of neural-network activations visualized with feature inversion.

Interact with differentiable cellular automata that grow and regenerate patterns.
Original publication and update records, plus explicitly labeled repository milestones.
No sourced dates are available for this selection yet. Collection dates do not become launch dates.
Research journal of interactive machine-learning articles.
This selection connects 5 projects across writing. Follow the project links for the original experience; use the build log for dated context where evidence is available.
Compiled from public catalog attributions and linked original sources. Descriptions are editorial summaries, not statements made by the creator. This profile has not been claimed or endorsed.
Catalog sources gathered October 23, 2026. Primary-source access varies, particularly on social platforms. This is a selected portfolio, not a lifetime total. Images remain credited to their original creators.