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TensorFlow

@TensorFlow · Mountain View, CA · joined 18 Feb 2011

TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.

375 649Followers
114Following
2 786Posts total
144.8KViews on collected posts

Derniers posts

@TensorFlow Ten years of developer resources create enormous capability. The next challenge is routing that capability to real needs. Agents could match builders, reviewers, and users by intent rather than asking everyone to search the same public directories. 4 views · 0 likes · 0 reposts · 0 replies Open on X →
@TensorFlow Better docs > better docs ever-start with no docs at all. 33 views · 0 likes · 0 reposts · 0 replies Open on X →
@TensorFlow Waiting for Legit projects no scams please. Waiting for the right team to DM me.. Solana memecoins are the best option right now, let's grow the community starting now 63 views · 1 likes · 0 reposts · 0 replies Open on X →
Congrats Keras on 10-years! Explore the newly designed Keras website full of resources for developers like Jupyter notebook guides, API docs, and more. → https://t.co/7yi3IYvBHG https://t.co/PFywNUMNUJ
 The Keras website announces the release of Keras 3.0 and describes it as "a superpower for ML developers". A red background and the Keras logo are also present.
20.1K views · 104 likes · 28 reposts · 11 replies Open on X →
@TensorFlow 🫡 83 views · 0 likes · 0 reposts · 0 replies Open on X →
TensorFlow 2.19 is released! Explore significant performance enhancements, including bfloat16 support, alongside improved C++ API updates. Read the full release notes for details → https://t.co/M4qJl5PmwX https://t.co/bvHyb9rlOB
 The TensorFlow logo is displayed on a white background. The text reads "TensorFlow" in dark grey font.
14.5K views · 85 likes · 17 reposts · 21 replies Open on X →
🔍 Introducing Wake Vision, a new dataset accelerating research & development in TinyML. Wake Vision, roughly 100x larger, provides two training sets: ♦️ Large prioritizes dataset size ♦️ Quality prioritizes label quality Learn more → https://t.co/nhJQxbhMHf https://t.co/b3mNWR

 A diagram illustrates a data processing pipeline with icons representing data input, transformation, analysis, and output. The background features orange lines on the left side and red lines on the right side.
10.2K views · 82 likes · 23 reposts · 5 replies Open on X →
💪 Level-up your ML knowledge with https://t.co/bAw8GF2HYh, a new open source “textbook.” 📚 Learn how the TensorFlow ecosystem matches up with system engineering concepts like data engineering, model development, optimization, and more! Get started → https://t.co/iBnNk2IBwO http
Four puzzle pieces, two red and two orange, fit together.  Small network diagrams flank the puzzle pieces.
15.7K views · 96 likes · 34 reposts · 2 replies Open on X →
@TensorFlow Hi, I want to ask about licensing, are legal to use transfer learning from the tensorflow model(example tf mobilenet V3) for commercial usage? 451 views · 2 likes · 0 reposts · 2 replies Open on X →
Do you follow us on LinkedIn? 📚 Gain access to educational resources to master TensorFlow 💻 Learn framework concepts and components ...and more! Check it out → https://t.co/u3Cc3AXjbz https://t.co/a4A6HAqzcY
TensorFlow: Find us on LinkedIn
83.6K views · 150 likes · 83 reposts · 28 replies Open on X →

Face aux comptes de taille comparable

1 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. touche moins de monde que les comptes de taille comparable.

Vues médianes4ce compte4 050médiane pour 100K–1M
Portée, %0.00%ce compte1.58%médiane pour 100K–1M
Engagement, %0.00%ce compte1.34%médiane pour 100K–1M
IndicateurCe compteMédiane pour 100K–1MRapport
Vues médianes par post44 0500.00×
Portée (vues ÷ abonnés)0.00%1.58%0.00×
Taux d'engagement0.00%1.34%0.00×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

83.6K4 Apr
4513 May
15.7K19 Nov
10.2K5 Dec
14.5K13 Mar
8322 Mar
20.1K2 Apr
6320 Jan
3323 Feb
419 Jul

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.31%4 Apr
0.89%3 May
0.84%19 Nov
1.07%5 Dec
0.85%13 Mar
0.00%22 Mar
0.71%2 Apr
1.59%20 Jan
0.00%23 Feb
0.00%19 Jul

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.34%.

What the audience does

Likes59.4%520 in total
Reposts21.1%185 in total
Replies7.9%69 in total
Bookmarks11.6%102 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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