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AI & Deep Learning

AI & Deep Learning

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All about Deep Learning, LLMs #deeplearning #deep_learning #AI #ML Follow for quality content amid all the noise in #AI.

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πŸ“ˆ Analytical overview of Telegram channel AI & Deep Learning

Channel AI & Deep Learning (@deeplearning005) in the English language segment is an active participant. Currently, the community unites 10 600 subscribers, ranking 11 571 in the Technologies & Applications category and 37 974 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 10 600 subscribers.

According to the latest data from 30 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 280 over the last 30 days and by 12 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 13.85%. Within the first 24 hours after publication, content typically collects 3.17% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 468 views. Within the first day, a publication typically gains 336 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
  • Thematic interests: Content is focused on key topics such as developer, openai.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œAll about Deep Learning, LLMs #deeplearning #deep_learning #AI #ML Follow for quality content amid all the noise in #AI.”

Thanks to the high frequency of updates (latest data received on 01 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

10 600
Subscribers
+1224 hours
+987 days
+28030 days
Posts Archive
Pick The Right Data Visualization.pdf1.82 MB

Predict Employee Retention Using Keras and TensorFlow.pdf10.13 KB

Learn Outlier Detection in Python (PyOD Library).pdf9.81 KB

Many people in the group chat seems to be Interested in understanding how to proceed in their ML learnings , here are a few links in case anyone not in the group is also interested, https://www.datacamp.com/tracks/career https://www.coursera.org/career/data-science Both are good but not good enough, you will have to practice alot, participate in kaggle competitions and try to understand what happens under the hood. How does hyperparameter tuning helps, etc etc Keep following this channel and our group for more curated resources. Thanks for your support, lets grow together. πŸ—½πŸš€

Machine Learning Projects in Python.pdf1.29 MB

Should we create a group chat for people of this channel?
Anonymous voting

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500 Subscribers πŸŽ„πŸ»πŸŽŠπŸŽ‰