#softmax
Live, measured metrics for the hashtag #softmax from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #softmax
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.social (Mastodon public tags API) · fetched 2026-10-20 05:35 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-20 05:35 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-20 05:35 UTCEverything below is measured over the latest 26 public posts (spanning ~33487 hours).
Posting hours (UTC) — busiest: 12:00
Languages: English (18) · Russian (6) · Italian (1) · German (1)
Avg boosts / post: 0.3
Top of the latest posts
Ich möchte in Calc ausrechnen: e^A1+e^B1+e^C1, also =exp(A1)+exp(B1)+exp(C1) und so weiter, das aber für viele Zellen A1 bis ABB1 etwa. Leider habe ich keinen Weg gefunden, das anders als über eine derart lange Formel zu lösen. Klar geht: K
How an #LLM works, roughly. Nice short #video on #ML. #graduateml #til #learn #learning #neurons #softmax #layers #transformers #architecture #neuralnetworks
Softmax, can you derive the Jacobian? And should you care? https://idlemachines.co.uk/essays/softmax #HackerNews #softmax #jacobian #machinelearning #derivatives #deep #learning #research
What “softmax” means
WikipediaThe softmax function, also known as softargmax or normalized exponential function, converts a tuple of K real numbers into a probability distribution over K possible outcomes. It is a generalization of the logistic function to multiple dimensions and is used in multinomial logistic regression. The softmax function is often used as the last activation function of a neural network to normalize the output of a network to a probability distribution over predicted output classes.
“Softmax function” on Wikipedia (CC BY-SA) →#softmax across platforms
every network with a public tag surfaceFollow #softmax 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/softmax