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6 099 技术与应用2 295...

📈 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 58 024 名订阅者，在 技术与应用 类别中位列第 2 295，并在印度地区排名第 6 099 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 58 024 名订阅者。

根据 20 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 -216，过去 24 小时变化为 -1，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 8.37%。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 4 855 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 14。
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 21 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。

58 024

订阅者

-124 小时

-507 天

-21630 天

4 855

帖子浏览量

无数据24 小时

无数据48 小时

8.37%

参与率

无数据

每日帖子数

Ads index

beta

帖子存档

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MLOps_Masterclass_Aug24.pdf8.04 MB

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Learn to deploy Gen AI Models👇🏻 MLOps Masterclass Productionizing Generative AI models, Navigating the Landscape of MLOps & LLMOps - Understanding the Synergy Register Now👇 https://bit.ly/mlops-masterclass Schedule: Aug 31th (Sat) & Sep 1st (Sun), 10AM to 3:30 PM 🔥 Limited Seats Available!

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🚀 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. 🔧 Installation Made Easy 🏆 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. Source code: https://github.com/Shohruh72/YOLOv5 ✅ https://t.me/deeplearning_ai

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🚀 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

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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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❇️ IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination. https://github.com/zju3dv/IntrinsicAnything ✅ https://t.me/deeplearning_ai

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