#backpropagation
Live, measured metrics for the hashtag #backpropagation from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #backpropagation
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 2026-09-15 17:20 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 2026-09-15 17:20 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-15 17:20 UTCEverything below is measured over the latest 40 public posts (spanning ~28963 hours).
Posting hours (UTC) — busiest: 06:00
Languages: English (25) · Russian (14) · Italian (1)
Avg boosts / post: 0.4
Top of the latest posts
@CarrieSDickson #geoffreyhinton #truth "Hinton has long called out #ethical questions around #AI especially its co-optation for #military purposes. He has said that one reason he chose to spend much of his career in #Canada is that it is ea
Memorization vs Generalization: что действительно умеет языковая модель (TLM) на 2 160 параметров (v1.1.0) Продолжая тему Крошечной Языковой Модели на Nodejs мы поймем где проходит граница ее возможностей. На примере Крошечной Языковой Моде
[Перевод] Языковая Модель без магии: Крошечная Language Model на чистом Node.js Мы создаем крошечную языковую модель с нуля на чистом Node.js без использования TensorFlow или PyTorch, реализуя нейроны, автоград, эмбеддинги, механизм самовни
What “backpropagation” means
WikipediaIn machine learning, backpropagation is a gradient computation method commonly used for training a neural network in computing parameter updates.
“Backpropagation” on Wikipedia (CC BY-SA) →#backpropagation across platforms
every network with a public tag surfaceFollow #backpropagation 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/backpropagation