#fbnet

Live, measured metrics for the hashtag #fbnet 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 #fbnet

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.

$1,129.43/ year · 5-character #name
Claim #fbnet — $1,129.43/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
8
Recent posts
Mastodon
~0.1/hr
Recent pace
Mastodon · last 8
0
Avg reactions / post
Mastodon · last 8

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 22:06 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 · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 22:06 UTC

No related tags with measured usage found for #fbnet.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 22:06 UTC

Everything below is measured over the latest 8 public posts (spanning ~74 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (8)

Avg boosts / post: 0

Top of the latest posts

  • Each training epoch, first classical convnet weights are updated, after that the architecture sampling weights. #fbnet

    MLstudent@MLstudent♥ 0↻ 02022-07-14 04:05 UTCView post →

  • (continued) ...and each block type is given a weight (different for each layer) representing how much is it contributing to the network. The key problem is how to find the weights. If we find them, we find the optimal architecture(s) by sam

    MLstudent@MLstudent♥ 0↻ 02022-07-14 04:02 UTCView post →

  • Let me put down my thoughts on FBNet architecture: FBNet is an algorithm that can find a #convnet architecture ideal in terms of accuracy and latency/complexity. It achieves it by having a 26-layer macroarchitecture which allows plugging on

    MLstudent@MLstudent♥ 0↻ 02022-07-14 03:55 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/fbnet