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Artificial Intelligence && Deep Learning

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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πŸ“ˆ Analytical overview of Telegram channel Artificial Intelligence && Deep Learning

Channel Artificial Intelligence && Deep Learning (@deeplearning_ai) in the English language segment is an active participant. Currently, the community unites 58 029 subscribers, ranking 2 289 in the Technologies & Applications category and 6 003 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 58 029 subscribers.

According to the latest data from 24 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -193 over the last 30 days and by 17 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 9.42%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 5 467 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 16.
  • Thematic interests: Content is focused on key topics such as github, learning, estimation, dataset, engineer.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œChannel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers With advertising offers contact:”

Thanks to the high frequency of updates (latest data received on 25 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

58 029
Subscribers
+1724 hours
-237 days
-19330 days
Posts Archive
https://t.me/CodingNews/399 Join @CodingNews to learn the latest technologies and trends in the world of web development πŸ‘¨πŸΌβ€πŸ’» 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. joinπŸ‘‡πŸ‘‡πŸ‘‡ @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 joinπŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI .https://www.coursera.org/learn/convolutional-neural-networks

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Best Deep Learning Research of 2019 So Far joinπŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI . https://medium.com/@ODSC/best-deep-learning-research-of-2019-so-far-7bea0ed22e38

Face Recognition Using OpenCV | Loading Recognizer joinπŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI . https://thecodacus.com/face-recognition-load
Face Recognition Using OpenCV | Loading Recognizer joinπŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI . https://thecodacus.com/face-recognition-loading-recognizer/#.XQIPT1wzaUk

Review: FPNβ€Šβ€”β€ŠFeature 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 joinπŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI . https://towardsdatascience.com/review-fpn-feature-pyramid-network-object-detection-262fc7482610

AI β€” Python Computer Vision Tutorial with OpenCV JOINπŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI
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AI β€” Python Computer Vision Tutorial with OpenCV JOINπŸ‘‡πŸ‘‡πŸ‘‡ @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/ joinπŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI

Advanced Topics in Deep Convolutional Neural Networks joinπŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI . https://towardsdatascience.com/advanced-topics-in-deep-convolutional-neural-networks-71ef1190522d

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https://t.me/CodingNews/384 Join @CodingNews to learn the latest technologies and trends in the world of web development πŸ‘¨πŸΌβ€πŸ’» You are welcome to participate in a dev related discussions @CodingChat