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:

India6 003 Tecnologías y Aplicaciones2 289...

📈 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 58 023 suscriptores, ocupando la posición 2 289 en la categoría Tecnologías y Aplicaciones y el puesto 6 003 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 58 023 suscriptores.

Según los últimos datos del 24 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -193, y en las últimas 24 horas de 17, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 9.42%. 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 5 467 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 16.
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 25 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.

58 023

Suscriptores

+1724 horas

-237 días

-19330 días

5 467

Visitas de la publicación

Sin datos24 horas

Sin datos48 horas

9.42%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

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Archivo de publicaciones

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Hey if you are interested in learning data science, machine learning, deep learning or Big data. You will also get to know how to do career transition to data science field. In this telegram group, you will get daily practice quizzes on interview questions, study materials, cheatsheets, blogs, books for free. Here is the telegram group that you can join https://t.me/dataspoof

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Swin Transformer for Object Detection PAPER: Swin Transformer: Hierarchical Vision Transformer using Shifted Windows VIDEO: https://www.youtube.com/watch?v=FQVS_0Bja6o CODE: https://github.com/SwinTransformer/Swin-Transformer-Object-Detection @deeplearning_ai

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Free Hands-on Demo Session organized by Management Career Institute Topic: Application of AI in price prediction. Deliverables: -Basic of data handling part. -Introducing to forecasting models. -Introducing Deep learning based forecast. -Explaining detailed architecture of the DL model. -Implementing live on real time dataset. Duration - 2 hours Date - Thursday | 29th July Time - 6.30 PM IST (Evening Slot) Live Hands-on Session Get Register Now: https://forms.gle/fkRv6dJnymew6sk6A Who will be Instructor? Instructor is Lead of Automation (Data Science & Artificial Intelligence) at Wipro. He has solved 60+ Research use cases, published 45+ Patents (received 23 grants) across various countries. He is also a Member of Advisory council at India ka AI.

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A simpler design but better performance! It aims to bridge the gap between research and industrial communities. Paper: https://arxiv.org/pdf/2107.08430v1.pdf Github: https://github.com/Megvii-BaseDetection/YOLOX t.me/deeplearning_ai

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YOLOX: Exceeding YOLO Series in 2021 Anchor-free version of YOLO series Won the 1st Place on Streaming Perception Challenge (Workshop on Autonomous Driving at CVPR 2021) t.me/deeplearning_ai

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Various Types of Neural Networks

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Deep Learning with PyTorch by Microsoft 🔥🔥. 100% free ! Course covers: * An Introduction to PyTorch * Computer Vision with PyTorch * NLP with PyTorch * Audio Classification with PyTorch https://docs.microsoft.com/en-us/learn/paths/pytorch-fundamentals/ https://t.me/DeepLearning_ai

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Woww! This is really awesome!! A new course to learn the fundamentals of Deep Learning with PyTorch by Microsoft 🔥🔥. https://t.me/DeepLearning_ai

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Review — Non-local Neural Networks (Video Classification) https://sh-tsang.medium.com/review-non-local-neural-networks-video-classification-object-detection-segmentation-pose-ac42fe57d0e4 https://t.me/DeepLearning_ai

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💡AI Workshop: Bring Your Use Case Ideas to Life 💡 👍In this online workshop, we present how you can use AI services and start prototyping in minutes. 👍We cover some of the most popular AI verticals such as Computer Vision and Natural Language Processing. After this workshop, you will know: 1. What is AI as a Service, and how does it work? 2. What are Computer Vision, NLP, and Speech? 3. How can you prototype your AI products before actual implementation? Requirements: ✅ Free Registration ✅ Basic Python knowledge 👉16 July, 17:00 - 18:00 CET👈 https://www.linkedin.com/events/6814928657631473664/

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GIRAFFE: A Closer Look at the Code for CVPR 2021’s Best Paper [Blog] https://autonomousvision.github.io/giraffe/ [Paper] http://www.cvlibs.net/publications/Niemeyer2021CVPR.pdf [Source] https://github.com/autonomousvision/giraffe [Interactive slides] https://m-niemeyer.github.io/slides/#/4 [Collected] https://m-niemeyer.github.io/project-pages/giraffe/index.html https://t.me/DeepLearning_ai

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GIRAFFE: A Closer Look at the Code for CVPR 2021’s Best Paper [Paper] http://www.cvlibs.net/publications/Niemeyer2021CVPR.pdf [Source] https://github.com/autonomousvision/giraffe [Blog] https://autonomousvision.github.io/giraffe/ [Interactive slides] https://m-niemeyer.github.io/slides/#/4 [Collected] https://m-niemeyer.github.io/project-pages/giraffe/index.html https://t.me/DeepLearning_ai

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https://t.me/DeepLearning_ai

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GIRAFFE: A Closer Look at the Code for CVPR 2021’s Best Paper [Paper] http://www.cvlibs.net/publications/Niemeyer2021CVPR.pdf [Source] https://github.com/autonomousvision/giraffe [Blog] https://autonomousvision.github.io/giraffe/ [Interactive slides] https://m-niemeyer.github.io/slides/#/4 [Collected] https://m-niemeyer.github.io/project-pages/giraffe/index.html https://t.me/DeepLearning_ai

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https://coursecatalog.us/ t.me/deeplearning_ai

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Course Catalog Download All Udemy Paid Courses And Tutorials FREE - Course Catalog Why Course Catalog? - Course Catalog - Upload New Tutorials And Courses On CourseCatalog.us Every Day. So If You Want To Download More Free Courses And Free Tutorials Then Visit them, Again And Again, to get paid courses for free. Free Tutorials: - The Course Catalog is the largest and most famous website in the world, providing free tutorials on all areas of computer science. Coursecatalog - From Coursecatalog You can find solutions for your IT problems. You can easily find thousands of video tutorials provided by experts here. The coursecatalog contains many free tutorials. t.me/deeplearning_ai 👇👇👇

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Course Catalog Download All Udemy Paid Courses And Tutorials FREE - Course Catalog

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Probabilistic two-stage detection Two-stage object detectors that use class-agnostic one-stage detectors as the proposal network. github: https://github.com/xingyizhou/CenterNet2?utm_source=catalyzex.com paper: https://arxiv.org/pdf/2103.07461.pdf https://t.me/DeepLearning_ai