#perceptron
Live, measured metrics for the hashtag #perceptron from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #perceptron
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-09-26 15:17 UTC2 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-09-26 15:17 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-26 15:17 UTCEverything below is measured over the latest 33 public posts (spanning ~37219 hours).
Posting hours (UTC) — busiest: 23:00
Languages: English (22) · Polish (4) · Russian (3) · German (1) · Spanish (1) · Catalan (1)
Avg boosts / post: 0.7
Top of the latest posts
"Glue on pizza" 20th century edition #AIFail #AI #Perceptron #AIMeme #TechMeme #Meme #FosseryTech
4/14: Perceptron 1958 Frank Rosenblatt stellte das Perceptron vor, das erste künstliche neuronale Netz. Es konnte einfache Muster erkennen und aus Beispielen lernen, indem es Verbindungsgewichte anpasste. Die Presse feierte es damals als Ma
Ex-Meta scientists want to bring visual AI to the factory floor Perceptron offers an AI model that it says can help machines navigate the world while also providing in-depth visual intelligence. https://justpaste.in/news/ex-meta-scientists-
What “perceptron” means
WikipediaIn machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function that can decide whether or not an input, represented by a vector of numbers, belongs to some specific class. It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector.
“Perceptron” on Wikipedia (CC BY-SA) →#perceptron across platforms
every network with a public tag surfaceFollow #perceptron straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/perceptron