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Artificial Intelligence && Deep Learning

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:

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πŸ“ˆ 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.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, 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.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œChannel 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
πŸš€ Generative AI is Taking Over – Will You Lead or Follow? πŸš€ ⚠️ FREE TRAINING The AI revolution is here, and top companies a
πŸš€ Generative AI is Taking Over – Will You Lead or Follow? πŸš€ ⚠️ FREE TRAINING The AI revolution is here, and top companies are hiring for roles like AI Engineers, Gen AI Experts, and Generative AI Developers. Register Free Now: https://live.psitrontech.com πŸ’‘ What You’ll Learn: βœ… Master Gen AI on AWS, Azure and GCP βœ… Master GPT, Claude, LLaMA & Stable Diffusion βœ… Build AI-powered applications & AI Agents βœ… Stay ahead with LLMOps & AI strategies πŸ”₯ High demand, low competition – Now is the time to upskill! ⏳ Opportunities like this don’t last forever!

πŸš€ Refactored HRNet Now Live! πŸš€ πŸ”₯ Supercharge your computer vision projects with high-resolution HRNet models – fully refactored for easy training/testing! βœ… Multiple ImageNet-pretrained models βœ… Lightning-fast setup βœ… Top-tier accuracy πŸ‘‰ Check it out & ⭐️ Star the repo if you find it useful! GitHub: Shohruh72/HRNet #AI #DeepLearning #OpenSource @deeplearning_ai

Source code: Github 🌟 Star the repo & share with your community!

πŸš€ LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models πŸ”— Source: Github @deeplearning_ai

πŸš€ LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models πŸ”— Source: Github @deeplearning_ai

πŸš€ LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models πŸ”— Source: Github @deeplearning_ai

πŸš€ LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models πŸ”— Source: Github @deeplearning_ai

πŸš€ LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models πŸ”— Source: Github

πŸš€ Introducing: High-Resolution Facial Landmark Detection! 🎯 πŸ”— Source: Github @deeplearning_ai
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πŸš€ Introducing: High-Resolution Facial Landmark Detection! 🎯 πŸ”— Source: Github @deeplearning_ai

🌟 SmolVLM Realtime Inference UI On-device vision–language in your browserβ€”webcam, video & image. Zero-config HTML/JS powered
🌟 SmolVLM Realtime Inference UI On-device vision–language in your browserβ€”webcam, video & image. Zero-config HTML/JS powered by llama.cpp. πŸš€ Try it: https://github.com/Shohruh72/SmolVLM-UI Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ @MachineLearning_Programming

πŸš€ Introducing: Face Landmark Auto-Labeling Toolkit 🧠 Tired of manually annotating facial landmarks? Here's a deep learning-powered desktop app that will change your workflow forever! πŸ”§ Key Features: βœ… 68-point facial landmark detection (PIPNet + ONNX) βœ… Modern GUI with theme support (Tkinter + TTKBootstrap) βœ… Smart drag-and-drop editing βœ… Batch processing of entire folders βœ… Export as .json and .pts βœ… Real-time dataset statistics πŸ“½οΈ See it in action: ▢️ Demo Video #1 ▢️ Demo Video #2 🌟 Star the repo & share with your community! πŸ”— GitHub: https://github.com/Shohruh72/Landmark-Auto-Label https://github.com/Shohruh72 @deeplearning_ai

VSP-LLM (Visual Speech Processing incorporated with LLMs) Code: https://github.com/Sally-SH/VSP-LLM?tab=readme-ov-file Paper: https://arxiv.org/pdf/2402.15151 @deeplearning_ai

mlops_specialization_course-1.pdf8.75 MB

🚨 FREE MLOps TRAINING ALERT 🚨 πŸ’Ό Earn up to β‚Ή35.1 Lakhs/Year as a Certified MLOps Engineer! πŸš€ Master MLOps & LLMOps on AWS
🚨 FREE MLOps TRAINING ALERT 🚨 πŸ’Ό Earn up to β‚Ή35.1 Lakhs/Year as a Certified MLOps Engineer! πŸš€ Master MLOps & LLMOps on AWS, Azure, GCP, and Open-Source Tools! πŸ”₯ LIMITED SPOTS – Act Fast! πŸ“ Secure Your Spot Now: https://www.eventbrite.com/e/mlops-specialization-course-demo-tickets-710123256777 πŸ’‘ Transform Your Career with our Expert Training! 🎯 Share with fellow ML Enthusiasts and future tech leaders! #MLOps #AI #TechCareers #FreeTraining

πŸ”— SOURCE ❇️ CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models πŸ”₯ Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ @Deeplearning_ai

Build Your Social Media Automation Agent What if you could create a month’s worth of social media content in just one hour? O
Build Your Social Media Automation Agent What if you could create a month’s worth of social media content in just one hour? Our AI workshop shows you how Date: Thursday, 24th April at 9 PM IST Registration Link: https://lu.ma/08r6okdy?tk=TyIt92 This session is led by Satvik, founder of Build Fast With AI, an IIT Delhi graduate and AI expert who has trained over 10,000 people!

Build Your Social Media Automation Agent The secret weapon behind viral creators? AI automation. Build yours in our hands-on
Build Your Social Media Automation Agent The secret weapon behind viral creators? AI automation. Build yours in our hands-on workshop. Date: Thursday, 24th April at 9 PM IST Registeration Link: https://lu.ma/08r6okdy?tk=TyIt92 This session is led by Satvik, founder of Build Fast With AI, an IIT Delhi graduate and AI expert who has trained over 10,000 people!

πŸ“š Become a professional data scientist with these 17 resources! 1️⃣ Python libraries for machine learning ◀️ Introducing the
πŸ“š Become a professional data scientist with these 17 resources! 1️⃣ Python libraries for machine learning ◀️ Introducing the best Python tools and packages for building ML models. βž–βž–βž– 2️⃣ Deep Learning Interactive Book ◀️ Learn deep learning concepts by combining text, math, code, and images. βž–βž–βž– 3️⃣ Anthology of Data Science Learning Resources ◀️ The best courses, books, and tools for learning data science. βž–βž–βž– 4️⃣ Implementing algorithms from scratch ◀️ Coding popular ML algorithms from scratch βž–βž–βž– 5️⃣ Machine Learning Interview Guide ◀️ Fully prepared for job interviews βž–βž–βž– 6️⃣ Real-world machine learning projects ◀️ Learning how to build and deploy models. βž–βž–βž– 7️⃣ Designing machine learning systems ◀️ How to design a scalable and stable ML system. βž–βž–βž– 8️⃣ Machine Learning Mathematics ◀️ Basic mathematical concepts necessary to understand machine learning. βž–βž–βž– 9️⃣ Introduction to Statistical Learning ◀️ Learn algorithms with practical examples. βž–βž–βž– 1️⃣ Machine learning with a probabilistic approach ◀️ Better understanding modeling and uncertainty with a statistical perspective. βž–βž–βž– 1️⃣ UBC Machine Learning ◀️ Deep understanding of machine learning concepts with conceptual teaching from one of the leading professors in the field of ML, βž–βž–βž– 1️⃣ Deep Learning with Andrew Ng ◀️ A strong start in the world of neural networks, CNNs and RNNs. βž–βž–βž– 1️⃣ Linear Algebra with 3Blue1Brown ◀️ Intuitive and visual teaching of linear algebra concepts. βž–βž–βž– πŸ”΄ Machine Learning Course ◀️ A combination of theory and practical training to strengthen ML skills. βž–βž–βž– 1️⃣ Mathematical Optimization with Python ◀️ You will learn the basic concepts of optimization with Python code. βž–βž–βž– 1️⃣ Explainable models in machine learning ◀️ Making complex models understandable. βž–βž–βž– ⚫️ Data Analysis with Python ◀️ Data analysis skills using Pandas and NumPy libraries. βœ… @Deeplearning_ai