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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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📈 Análisis del canal de Telegram Artificial Intelligence && Deep Learning

El canal Artificial Intelligence && Deep Learning (@deeplearning_ai) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 58 074 suscriptores, ocupando la posición 2 302 en la categoría Tecnologías y Aplicaciones y el puesto 6 210 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 58 074 suscriptores.

Según los últimos datos del 15 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -198, y en las últimas 24 horas de -6, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 7.35%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 4 270 visualizaciones. En el primer día suele acumular 0 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 13.
  • Intereses temáticos: El contenido se centra en temas clave como github, learning, estimation, dataset, engineer.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
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:

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 16 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

58 074
Suscriptores
-624 horas
-327 días
-19830 días
Archivo de publicaciones
🚀 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!

Source code: Github

🚀 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