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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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📈 Telegram kanali Artificial Intelligence && Deep Learning analitikasi

Artificial Intelligence && Deep Learning (@deeplearning_ai) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 58 024 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 295-o'rinni va Hindiston mintaqasida 6 099-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 58 024 obunachiga ega bo‘ldi.

20 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -216 ga, so‘nggi 24 soatda esa -1 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 8.37% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 4 855 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 14 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent github, learning, estimation, dataset, engineer kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
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:

Yuqori yangilanish chastotasi (oxirgi ma’lumot 21 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

58 024
Obunachilar
-124 soatlar
-507 kunlar
-21630 kunlar
Postlar arxiv
🚀 Generative AI is Taking Over – Will You Lead or Follow? 🚀 ⚠️ FREE TRAINING The AI revolution is here, and top companies a
🚀 Generative AI is Taking Over – Will You Lead or Follow? 🚀 ⚠️ 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 💡 What You’ll Learn: ✅ Master Gen AI on AWS, Azure and GCP ✅ Master GPT, Claude, LLaMA & Stable Diffusion ✅ Build AI-powered applications & AI Agents ✅ Stay ahead with LLMOps & AI strategies 🔥 High demand, low competition – Now is the time to upskill! ⏳ Opportunities like this don’t last forever!

🚀 Refactored HRNet Now Live! 🚀 🔥 Supercharge your computer vision projects with high-resolution HRNet models – fully refactored for easy training/testing! ✅ Multiple ImageNet-pretrained models ✅ Lightning-fast setup ✅ Top-tier accuracy 👉 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!

🚀 LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models 🔗 Source: Github @deeplearning_ai

🚀 LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models 🔗 Source: Github @deeplearning_ai

🚀 LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models 🔗 Source: Github @deeplearning_ai

🚀 LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models 🔗 Source: Github @deeplearning_ai

🚀 LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models 🔗 Source: Github

🚀 Introducing: High-Resolution Facial Landmark Detection! 🎯 🔗 Source: Github @deeplearning_ai
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🚀 Introducing: High-Resolution Facial Landmark Detection! 🎯 🔗 Source: Github @deeplearning_ai

🌟 SmolVLM Realtime Inference UI On-device vision–language in your browser—webcam, video & image. Zero-config HTML/JS powered
🌟 SmolVLM Realtime Inference UI On-device vision–language in your browser—webcam, video & image. Zero-config HTML/JS powered by llama.cpp. 🚀 Try it: https://github.com/Shohruh72/SmolVLM-UI Join my channel: 👇👇👇👇👇👇 @MachineLearning_Programming

🚀 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! 🔧 Key Features: ✅ 68-point facial landmark detection (PIPNet + ONNX) ✅ Modern GUI with theme support (Tkinter + TTKBootstrap) ✅ Smart drag-and-drop editing ✅ Batch processing of entire folders ✅ Export as .json and .pts ✅ Real-time dataset statistics 📽️ See it in action: ▶️ Demo Video #1 ▶️ Demo Video #2 🌟 Star the repo & share with your community! 🔗 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 🚨 💼 Earn up to ₹35.1 Lakhs/Year as a Certified MLOps Engineer! 🚀 Master MLOps & LLMOps on AWS
🚨 FREE MLOps TRAINING ALERT 🚨 💼 Earn up to ₹35.1 Lakhs/Year as a Certified MLOps Engineer! 🚀 Master MLOps & LLMOps on AWS, Azure, GCP, and Open-Source Tools! 🔥 LIMITED SPOTS – Act Fast! 📝 Secure Your Spot Now: https://www.eventbrite.com/e/mlops-specialization-course-demo-tickets-710123256777 💡 Transform Your Career with our Expert Training! 🎯 Share with fellow ML Enthusiasts and future tech leaders! #MLOps #AI #TechCareers #FreeTraining

🔗 SOURCE ❇️ CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models 🔥 Join my channel: 👇👇👇👇👇👇 @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!

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