#alexnet
Live, measured metrics for the hashtag #alexnet from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #alexnet
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-10-14 07:20 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-10-14 07:20 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-14 07:20 UTCEverything below is measured over the latest 14 public posts (spanning ~69688 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (7) · Russian (4) · German (3)
Avg boosts / post: 0.2
Top of the latest posts
10/14: AlexNet 2012 Alex Krizhevsky, Ilya Sutskever und Geoffrey Hinton gewannen den ImageNet Wettbewerb mit einem tiefen neuronalen Netz, trainiert auf Grafikkarten statt normalen Prozessoren. Die Fehlerquote bei Bilderkennung sank drastis
RE: https://mastodon.social/@Lego_Seife/116072104884758638 Sehr schön – der automatische #Seifenspender mit Kamera und Handerkennung über das vorgelernte KI-Modell #AlexNet in #MATLAB funktioniert jetzt auch. 👏 an Gruppe 8 @Lego_Seife im #
Когда несколько пикселей решают всё: One Pixel атака и способы защиты от неё Удивительно, но факт: несколько изменений в изображении могут полностью поменять вывод нейросети, что ломает заложенную разработчиком логику. В данной статье мы не
What “alexnet” means
WikipediaAlexNet is a convolutional neural network architecture developed for image classification tasks, notably achieving prominence through its performance in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). It classifies images into 1,000 distinct object categories and is regarded as the first widely recognized application of deep convolutional networks in large-scale visual recognition.
“AlexNet” on Wikipedia (CC BY-SA) →#alexnet across platforms
every network with a public tag surfaceFollow #alexnet 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/alexnet