Artificial Intelligence && Deep Learning

前往频道在 Telegram

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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印度6 003 技术与应用2 289...

📈 Telegram 频道 Artificial Intelligence && Deep Learning 的分析概览

频道 Artificial Intelligence && Deep Learning (@deeplearning_ai) 英语语言赛道中的是活跃参与者。目前社区聚集了 58 023 名订阅者，在 技术与应用 类别中位列第 2 289，并在印度地区排名第 6 003 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 58 023 名订阅者。

根据 24 六月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 -193，过去 24 小时变化为 17，整体触达仍然可观。

认证状态： 未认证
互动率 (ER)： 平均受众互动率为 9.42%。内容发布后 24 小时内通常能获得 N/A% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 5 467 次浏览，首日通常累积 0 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 16。
主题关注点： 内容集中在 github, learning, estimation, dataset, engineer 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台：
“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:”

凭借高频更新（最新数据采集于 25 六月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。

58 023

订阅者

+1724 小时

-237 天

-19330 天

5 467

帖子浏览量

无数据24 小时

无数据48 小时

9.42%

参与率

无数据

每日帖子数

Ads index

beta

帖子存档

58 023

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