#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.

hashtag.org network · sponsored

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.

$240.06/ year · 7-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
23
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 23
0.1
Avg reactions / post
Mastodon · last 23

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-07-27 08:55 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 uses by 0 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 2026-07-27 08:55 UTC
#SoftmaxFunction
0 uses · 0 accounts / 7d
#softmaxing
0 uses · 0 accounts / 7d
#softmax_qiita
0 uses · 0 accounts / 7d
#softmaxxing
0 uses · 0 accounts / 7d
#softmaxplus
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-07-27 08:55 UTC

Everything below is measured over the latest 23 public posts (spanning ~30427 hours).

Posting hours (UTC) — busiest: 07:00

00:0012:0023:00

Languages: English (16) · Russian (6) · 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

    Herr Rau@[email protected]♥ 2↻ 02025-06-29 14:33 UTCView post →

  • Softmax, can you derive the Jacobian? And should you care? https://idlemachines.co.uk/essays/softmax #HackerNews #softmax #jacobian #machinelearning #derivatives #deep #learning #research

    Hacker News@h4ckernews♥ 1↻ 02026-05-01 07:24 UTCView post →

  • Откуда в обучении берётся nan: численная нестабильность в ML и почему всё считают в логарифмах Многие ML‑инженеры знают, что нужно использовать CrossEntropyLoss , log_softmax и logsumexp . Гораздо меньше людей могут объяснить, что именно он

    Habr@[email protected]♥ 0↻ 02026-06-09 17:52 UTCView post →

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