#GradientDescent
Live, measured metrics for the hashtag #GradientDescent from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #gradientdescent
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 13:52 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 13:52 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 13:52 UTCEverything below is measured over the latest 31 public posts (spanning ~48974 hours).
Posting hours (UTC) — busiest: 22:00
Languages: English (31)
Avg boosts / post: 1.1
Top of the latest posts
I made a short tutorial on understanding #GradientDescent in #MachineLearning, including interactive #Jupyter notebooks to play around with: 🌍 https://www.fabriziomusacchio.com/blog/2023-03-27-gradient_descent/
📐 New preprint by Gabriel Peyré: The paper introduces a new class of spectral #Wasserstein distances, linking #OptimalTransport with normalized #gradient methods. It shows that spectrally normalized #GradientDescent can be interpreted as a
Differential Logic • 18 Tangent and Remainder Maps If we follow the classical line which singles out linear functions as ideals of simplicity then we may complete the analytic series of the proposition in the following way. The next venn di
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