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Artificial Intelligence && Deep Learning

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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📈 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 58 019 名订阅者,在 技术与应用 类别中位列第 2 290,并在 印度 地区排名第 5 977

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 58 019 名订阅者。

根据 25 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 -204,过去 24 小时变化为 -8,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 9.58%。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 5 556 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 26 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。

58 019
订阅者
-824 小时
-287
-20430
帖子存档
https://t.me/CodingNews/399 Join @CodingNews to learn the latest technologies and trends in the world of web development 👨🏼‍💻 You are welcome to participate in a dev related discussions @CodingChat

Papers and code: AI section of Arxiv.org is useful if you are looking for the latest research papers. join👇👇👇 @DeepLearning_AI .https://arxiv.org/list/cs.AI/recent

Free online course from coursera.com Convolutional Neural Networks Skills you will gain: Facial Recognition System Tensorflow Convolutional Neural Network Artificial Neural Network * Foundations of Convolutional Neural Networks * Deep convolutional models: case studies * Object detection * Special applications: Face recognition & Neural style transfer join👇👇👇 @DeepLearning_AI .https://www.coursera.org/learn/convolutional-neural-networks

Machine Learning is Fun Part 5: Language Translation with Deep Learning and the Magic of Sequences join👇👇👇 DeepLearning_AI .https://medium.com/@ageitgey/machine-learning-is-fun-part-5-language-translation-with-deep-learning-and-the-magic-of-sequences-2ace0acca0aa

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Face Recognition Using OpenCV | Loading Recognizer join👇👇👇 @DeepLearning_AI . https://thecodacus.com/face-recognition-load
Face Recognition Using OpenCV | Loading Recognizer join👇👇👇 @DeepLearning_AI . https://thecodacus.com/face-recognition-loading-recognizer/#.XQIPT1wzaUk

Review: FPN — Feature Pyramid Network (Object Detection) What Is Covered: * Various Architecture in Literature * Feature Pyramid Network (FPN) * FPN for Region Proposal Network (RPN) * FPN for Detection Network * Ablation Experiments * Comparison with State-of-the-art Approaches join👇👇👇 @DeepLearning_AI . https://towardsdatascience.com/review-fpn-feature-pyramid-network-object-detection-262fc7482610

AI — Python Computer Vision Tutorial with OpenCV JOIN👇👇👇 @DeepLearning_AI
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AI — Python Computer Vision Tutorial with OpenCV JOIN👇👇👇 @DeepLearning_AI

@DeepLearning_AI List of Free Natural Language Processing Courses 1)Speech and Language Processing by Dan Jurafsky and James Martin https://web.stanford.edu/~jurafsky/slp3/ 2) Deep Learning for Natural Language Processing by Richard Socher (Stanford University) https://m.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6 3. Natural Language Processing (NLP) by Microsoft https://www.edx.org/course/natural-language-processing-nlp-2 4. Andrew Ng’s course on Machine Learning https://www.coursera.org/learn/machine-learning/home/welcome 5. The video lectures and resources for Stanford’s Natural Language Processing with Deep Learning http://web.stanford.edu/class/cs224n/ https://m.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6 6. Sequence Models for Time Series and Natural Language Processing https://www.coursera.org/learn/sequence-models-tensorflow-gcp?ranMID=40328&ranEAID=SAyYsTvLiGQ&ranSiteID=SAyYsTvLiGQ-ACNikbtJvh2d5Evme5yZQA&siteID=SAyYsTvLiGQ-ACNikbtJvh2d5Evme5yZQA&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ 7. Deep Natural Language Processing course offered in Hilary Term 2017 at the University of Oxford. http://www.cs.ox.ac.uk/teaching/courses/2016-2017/dl/ 8. Natural Language Processing Fundamentals in Python by Datacamp https://www.datacamp.com/courses/natural-language-processing-fundamentals-in-python 9 Natural Language Processing by Higher School of Economics https://www.coursera.org/learn/language-processing? 10 How to Build a Chatbot Without Coding by IBM https://www.coursera.org/learn/building-ai-powered-chatbots 11. CS 388: Natural Language Processing by University of Texas https://www.cs.utexas.edu/~mooney/cs388/ 12. Natural Language Processing with Python http://www.nltk.org/book/ 13. CSEP 517: Natural Language Processing by University of Washington https://courses.cs.washington.edu/courses/csep517/17sp/ 14. Dan Jurafsky & Chris Manning: Natural Language Processing https://m.youtube.com/playlist?list=PL8FFE3F391203C98C 15. NATURAL LANGUAGE PROCESSING by Carnegie Mellon University http://demo.clab.cs.cmu.edu/NLP/ 16. CS224n: Natural Language Processing with Deep Learning by Stanford University http://web.stanford.edu/class/cs224n/ join👇👇👇 @DeepLearning_AI

Top 13 Skills To Become a Rockstar Data Scientist – Towards Data Science join👇👇👇 @DeepLearning_AI https://towardsdatascience.com/top-13-skills-to-become-a-rockstar-data-scientist-faf2f97e655d

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https://t.me/CodingNews/384 Join @CodingNews to learn the latest technologies and trends in the world of web development 👨🏼‍💻 You are welcome to participate in a dev related discussions @CodingChat