Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Artificial Intelligence && Deep Learning
Kanalga Telegram’da o‘tish
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:
Ko'proq ko'rsatish📈 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
Learn to deploy Gen AI Models👇🏻
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✅ https://t.me/deeplearning_ai
🚀 Elevate Your Computer Vision Projects with YOLOv5 and PyTorch!🚀
🌟 Why YOLOv5?
High Accuracy: Achieve top-tier results with minimal parameters.
Speed: Optimized for both training and inference, making it ideal for real-time applications.
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🏆 Results & Pretrained Checkpoints
📊 Demo
Check out the demo and additional resources to see YOLOv5 in action!
⭐ Star Us on GitHub!
If you find this repository useful, don't forget to give us a ⭐ on GitHub! Your support helps us improve and add more features.
✅ https://t.me/deeplearning_ai
Explore Live Portrait Monitor, a cutting-edge tool based on the paper LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control.
📈 Improved Inference Speed:
One-click run Windows package available, supporting TensorRT.
🔑 Key Features:
* Real-Time Animation: Efficient portrait animation with stitching and retargeting control.
* Webcam and Monitor Support: Easily switch between webcam and monitor input for diverse applications.
* Windows Package: One-click run without installation, supporting TensorRT for faster inference.
* Customizable Settings: Adjust padding for optimal head alignment in driver video.
* Pretrained Models: Download and utilize pretrained weights for quick setup and high-quality results.
🌐 Resources:
GitHub Repo: Webcam Live Portrait
BASICS OF PYTHON FOR GEN AI
Curious about creating your own AI applications? Join our FREE beginner-friendly workshop to discover:
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You can directly ask question during the call from IIT Delhi alumni.
Date : 3rd August 2024 (Saturday)
Time : 11:00 AM IST
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See you there! 💻✨
🚀 Introducing SAM 2: Segment Anything in Images and Videos! 🎥✨
🔧 Key Features:
* Real-time video processing with streaming memory.
* Largest video segmentation dataset (SA-V) for top performance.
* Interactive user feedback for continuous improvement.
🔗 Discover More:
* Source Code: GitHub
* Project Page: Meta AI SAM 2
* Demo: Try it here
* Paper: Read the paper
✅ https://t.me/deeplearning_ai
Grounding Image Matching in 3D with MASt3R
💻Source Code: Explore on GitHub
💻Project Page: Discover More
📖Read the Paper: Access Here
✅ https://t.me/deeplearning_ai
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🚀 LiteHPE: Revolutionize Your Head Pose Estimation!
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✅ @deeplearning_ai
🚀 LiteHPE: Revolutionize Your Head Pose Estimation!
🎯 Why LiteHPE?
6D Rotation Matrix Representation: Achieve unparalleled accuracy.
High Performance: Optimized for efficiency.
Easy Integration: Seamlessly integrate with your projects.
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Easily visualize results with demo configuration.
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✅ @deeplearning_ai
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🚀 Bring Your Portraits to Life with LivePortrait AI! 🚀
🎨 Introducing LivePortrait: The Ultimate Tool for Animated Portraits 🎨
🔍 Features:
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LivePortrait AI GitHub Repository
#Watch_the_magic_happen_with_just_one_click!
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🌟 Exciting AI Breakthrough! Meet U^2-Net! 🌟
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* Efficient
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💻Source Code: Explore on GitHub
🌟 Exciting AI Breakthrough! Meet U^2-Net! 🌟
🌟 Why U^2-Net?
* Efficient
* AdvancedArchitecture.
* High-Resolution Outputs
🚀 Key Applications:
* Salient Object Detection
* Background Removal
* Medical Imaging
💡 Ready to Transform Projects
✨ Give our repo a ⭐ and show your support!
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💻Source Code: Explore on GitHub
🌟Face Identification Inference Code Using ONNX Runtime🌟
📢 Introducing AdaFace: Quality Adaptive Margin for Face Recognition
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Our project leverages the power of ONNX Runtime to deliver high-accuracy face identification.
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Happy Learning! 🌟
1️⃣ Basics of Data Science
🏷 Statistics and Probability
◾️ Statistics & Probability
🏷 Linear Algebra
◽️ Essence of Linear Algebra
2️⃣ Programming Language\
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◾️ Pandas Documentation
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🏷Tableau Public Platform
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1️⃣ Share Your Projects on Kaggle and GitHub
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🏷 GitHub Platform
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Happy Learning! 🌟
❇️ IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination.
https://github.com/zju3dv/IntrinsicAnything
✅ https://t.me/deeplearning_ai
Hey everyone! 👋
Remember the sneak peek of Claude 3.5 at the end of last week's masterclass? Well, get ready for more!
This weekend, we're diving deep into *Claude 3.5 Sonnet*! 🧑💻
Discover the innovative Artifacts feature in Claude 3.5 Sonnet and learn how it enhances the model's capabilities for various applications!
🗓 Date: Saturday, June 29
⏰ Time: 11 AM IST
*Register now*: buildfastwithai.com/events/claude-35-sonnet-deep-dive
See you there! 🚀
