Available now! Telegram Research 2025 — the year's key insights 
Artificial Intelligence && Deep Learning
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Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers With advertising offers contact:
Show more📈 Analytical overview of Telegram channel Artificial Intelligence && Deep Learning
Channel Artificial Intelligence && Deep Learning (@deeplearning_ai) in the English language segment is an active participant. Currently, the community unites 58 024 subscribers, ranking 2 297 in the Technologies & Applications category and 6 023 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 58 024 subscribers.
According to the latest data from 23 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -218 over the last 30 days and by -10 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 8.90%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 5 163 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 15.
- Thematic interests: Content is focused on key topics such as github, learning, estimation, dataset, engineer.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact:”
Thanks to the high frequency of updates (latest data received on 24 June, 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.
58 024
Subscribers
-1024 hours
-557 days
-21830 days
Posts Archive
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NanoSAM is a Segment Anything (SAM) model variant that is capable of running in 🔥 real-time 🔥 on NVIDIA Jetson Orin Platforms with NVIDIA TensorRT.
source code:https://github.com/NVIDIA-AI-IOT/nanosam
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Stanford University has just opened full access to CS224U. One of their immensely popular graduate-level Natural Language Understanding course taught by Professor Christopher Potts.
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@deeplearning_ai
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Why you shouldn't miss this Masterclass?
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✔️ 10 hours session consisting of theory + Hands-on.
✔️One-on-One Debugging Session (Optional)
👨💼 Who Should Attend? 👩💼
This masterclass is perfect for Data scientists, ML engineers, Software engineers, and DevOps professionals.
Schedule:
August 12th (Sat) & 13th (Sun)
Highlights of this Masterclass:
▪️MLOps Introduction
▪️Getting started with AWS for Machine Learning
▪️AWS SageMaker Studio
▪️CI/CD Tools
▪️AWS MLOps Tools
▪️AWS MLOps - Build, Train & deploy ML Model
🔥 Limited Seats Available!
Book Now👇
https://bit.ly/mlops-masterclass-aug
☎️ Contact:
Sarath Kumar
+918940876397 / +918778033930
MLOps Masterclass
🔥50% OFF on registration
🏆 Unlock your full potential with MLOps Masterclass
Learn to Design ML Pipelines to Build, Train,Deploy and Monitor your Machine learning models in a real-time production environment.
Register Now👇
https://bit.ly/mlops-masterclass-aug
Why you shouldn't miss this Masterclass?
✔️ 15+ hands-on exercises.
✔️ 2 Real-life industry projects.
✔️Dedicated mentoring sessions from industry experts.
✔️ 10 hours session consisting of theory + Hands-on.
✔️One-on-One Debugging Session (Optional)
👨💼 Who Should Attend? 👩💼
This masterclass is perfect for Data scientists, ML engineers, Software engineers, and DevOps professionals.
Schedule:
August 12th (Sat) & 13th (Sun)
Highlights of this Masterclass:
▪️MLOps Introduction
▪️Getting started with AWS for Machine Learning
▪️AWS SageMaker Studio
▪️CI/CD Tools
▪️AWS MLOps Tools
▪️AWS MLOps - Build, Train & deploy ML Model
🔥 Limited Seats Available!
Book Now👇
https://bit.ly/mlops-masterclass-aug
☎️ Contact:
Sarath Kumar
+918940876397 / +918778033930
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👍 channel #1: @DeepLearning_ai
👍 channel #2: @MachineLearning_Programming
80+ Jupyter Notebook tutorials on image classification, object detection and image segmentation in various domains
📌 Agriculture and Food
📌 Medical and Healthcare
📌 Satellite
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Classification library
https://github.com/Tessellate-Imaging/monk_v1
Notebooks - https://github.com/Tessellate-Imaging/monk_v1/tree/master/study_roadmaps/4_image_classification_zoo
Detection and Segmentation Library
https://github.com/Tessellate-Imaging/
Monk_Object_Detection
Notebooks: https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo
👉 @deeplearning_ai
Repost from Artificial Intelligence && Deep Learning
Segment Anything in High Quality
We propose HQ-SAM to upgrade SAM for high-quality zero-shot segmentation. Refer to our paper for more details. Our code and models will be released in two weeks. Stay tuned!
https://github.com/syscv/sam-hq
@deeplearning_ai
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👉 Reserve your seat now: https://bit.ly/mlops-program
🌟 What you'll gain:
1️⃣ ML model deployment techniques.
2️⃣ Efficient data management insights.
3️⃣ Explore latest MLOps tools.
4️⃣ Real-time interaction with expert instructors.
🚩 Limited spots available! Don't miss out!
👉 Enroll now: https://bit.ly/mlops-program
👥 Share with fellow ML enthusiasts! 🚀✨
Segment Anything in High Quality
We propose HQ-SAM to upgrade SAM for high-quality zero-shot segmentation. Refer to our paper for more details. Our code and models will be released in two weeks. Stay tuned!
https://github.com/syscv/sam-hq
@deeplearning_ai
