AI & Deep Learning
All about Deep Learning, LLMs #deeplearning #deep_learning #AI #ML Follow for quality content amid all the noise in #AI.
Show more📈 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 11 061 subscribers, ranking 10 877 in the Technologies & Applications category and 35 111 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 11 061 subscribers.
According to the latest data from 03 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 210 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.37%. Within the first 24 hours after publication, content typically collects 2.57% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 478 views. Within the first day, a publication typically gains 284 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
- Thematic interests: Content is focused on key topics such as developer, openai.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“All 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 04 September, 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.
generativelanguage.googleapis.com) or related AI services, Google rolled out a strict policy change on June 19, 2026.
The Problem: The Gemini API now rejects all requests from unrestricted Standard API keys to prevent accidental public leaks.
The Fix: Go to your GCP Credentials Page, click your API key, scroll to API Restrictions, select Restrict Key, check the box for the specific API you are using, and click Save. Alternatively, migrate to the newer Auth Keys.
