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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Индия5 956 Технологии и приложения2 291...

📈 Аналитический обзор Telegram-канала Artificial Intelligence && Deep Learning

Канал Artificial Intelligence && Deep Learning (@deeplearning_ai) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 57 992 подписчиков, занимая 2 291 место в категории Технологии и приложения и 5 956 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 57 992 подписчиков.

Согласно последним данным от 29 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -192, а за последние 24 часа — -20, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 10.78%. В первые 24 часа после публикации контент обычно набирает N/A% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 0 просмотров. В течение первых суток публикация набирает 0 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 0.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как github, learning, estimation, dataset, engineer.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“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:”

Благодаря высокой частоте обновлений (последние данные получены 30 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

57 992

Подписчики

-2024 часа

-267 дней

-19230 день

6 252

Просмотры поста

Нет данных24 часа

Нет данных48 часов

10.78%

Коэффициент вовлеченности

Нет данных

Постов в день

Ads index

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Архив постов

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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