#convnet
Live, measured metrics for the hashtag #convnet from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #convnet
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 23:48 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 2026-07-27 23:48 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 23:48 UTCEverything below is measured over the latest 3 public posts (spanning ~14171 hours).
Posting hours (UTC)
Languages: English (2) · German (1)
Avg boosts / post: 0
Top of the latest posts
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
Today I will try to read the FBNet paper https://arxiv.org/abs/1812.03443 The FBNet algorithm searches for suitable architecture for convolutional networks. So called neural/network architecture search, or NAS. #fbnet #deeplearning #convnet
Das Convolutional Neural Network sagt: Tragt Masken! Mehrere Monate hat sich Daniel Shiffman Zeit gelassen, um seine Serie über Convolutional Neural Networks fortzuführen, implementiert in JavaScript – genauer in P5.js – mit ml5.js, der fre
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/convnet