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:

India6 003 Technologies & Applications2 289...

📈 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.

📊 Audience metrics and dynamics

Since its creation on невідомо, 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.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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:”

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

5 467

Post views

No data24 hours

No data48 hours

9.42%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

58 029

This is a list of awesome articles about object detection. If you want to read the paper according to time https://github.com/amusi/awesome-object-detection https://t.me/MachineLearning_Programming 👉https://t.me/DeepLearning_ai

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Object Detection and Tracking in 2020 (15 min read) 1. Code for Object Tracking 2. Selective Search Segmentation 3. paper: (Selective Search Segmentation) https://blog.netcetera.com/object-detection-and-tracking-in-2020-f10fb6ff9af3 👉https://t.me/DeepLearning_ai

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FrankMocap: A Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration. LINK JOIN US 1. [Paper] ==> https://arxiv.org/pdf/2008.08324.pdf 2. [Video]==>https://www.youtube.com/watch?v=HXTK5ro9kGc&feature=youtu.be 3. [Code]==> https://github.com/facebookresearch/frankmocap 👉https://t.me/DeepLearning_ai

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Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.(FREE) https://developers.google.com/machine-learning/crash-course 👉https://t.me/DeepLearning_ai

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Top 25 Computer Vision Project Ideas for 2020 1. Edge Detection 2. Photo Sketching 3. Detecting Contours 4. Collage Mosaic Generator 5. Barcode and QR Code Scanner 6. Face Detection 7. Blur the Face 8. Image Segmentation 9. Human Counting with OpenCV 10. Colour Detection ..... ....... https://data-flair.training/blogs/computer-vision-project-ideas/ 👉https://t.me/DeepLearning_ai

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Here's a list of top 100 deep learning Github trending repositories. Date: 02-02-2020 compared to 09-01-2019 Note: This will be updated regularly. https://github.com/mbadry1/Top-Deep-Learning 👉https://t.me/DeepLearning_ai

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Self-supervised Representation Learning in Computer Vision — Part 2 https://medium.com/analytics-vidhya/self-supervised-representation-learning-in-computer-vision-part-2-8254aaee937c 👉https://t.me/DeepLearning_ai

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JOIN US

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Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I've coached and interviewed hundreds of software engineers. The result is this book. * 189 programming interview questions, ranging from the basics to the trickiest algorithm problems. * A walk-through of how to derive each solution, so that you can learn how to get there yourself. * Hints on how to solve each of the 189 questions, just like what you would get in a real interview. * Five proven strategies to tackle algorithm questions, so that you can solve questions you haven't seen. * Extensive coverage of essential topics, such as big O time, data structures, and core algorithms. * A behind the scenes look at how top companies like Google and Facebook hire developers. * Techniques to prepare for and ace the soft side of the interview: behavioral questions. * For interviewers and companies: details on what makes a good interview question

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Dive Into Deep Learning August 2020 and FREE version!!! D2L is the 987-page book that Amazon scientists have compiled over the past two years and has finally been completed... an interactive and ' open source book ' with code, math and discussions. What makes this book unique is that it was created with Jupyter Notebook and with the idea of ′′ Learning with Practice "... that is, the book in its entirety consists of executable code with adaptations in PyTorch, TensorFlow and MXNet. 1. Free PDF Download: https://d2l.ai/d2l-en.pdf 2. Download the book in 'notebook' format to read and execute locally from web site: https://d2l.ai 3. https://t.me/DeepLearning_ai

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Bookshelf for Machine Learning, Deep Learning, and related topics 1. Machine Leaning and Deep Learning (50 books) 2. Python Books 3. Math Books for Machine Learning (19 books) 4. NLP Books(11 books) 5. Computer Vision (CV) Book 6. Reinforcement Learning Books 7. Speech Processing 8. cheatsheets https://github.com/loveunk/Deep-learning-books 👉https://t.me/DeepLearning_ai

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Using Flask to optimize performance with Mask R-CNN segmentation(with source code) How to improve Mask R-CNN segmentation performance using a Flask web service. https://medium.com/medialesson/using-flask-to-optimize-performance-with-mask-r-cnn-segmentation-39752f153029 👉https://t.me/DeepLearning_ai

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If you want to do some reading on machine learning and AI, then this is the right project for you. It has many Jupyter notebooks on the basics of deep learning and machine learning in Python. https://github.com/ageron/handson-ml 👉https://t.me/DeepLearning_ai

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23 Amazing Deep Learning Project Ideas [Source Code Included] https://data-flair.training/blogs/deep-learning-project-ideas/ 👉https://t.me/DeepLearning_ai

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12 Papers You Should Read to Understand Object Detection in the Deep Learning Era https://towardsdatascience.com/12-papers-you-should-read-to-understand-object-detection-in-the-deep-learning-era-3390d4a28891 👉https://t.me/DeepLearning_ai

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Comprehensive Python Cheatsheet https://gto76.github.io/python-cheatsheet/ 👉https://t.me/DeepLearning_ai

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Image Object Detection — TensorFlow 2 Object Detection API https://medium.com/swlh/image-object-detection-tensorflow-2-object-detection-api-af7244d4c34e https://t.me/DeepLearning_ai https://t.me/MachineLearning_Programming

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All 57 of our deep learning tutorials to support Keras/TensorFlow 2! These tutorials are 100% free for you or anyone else in the world to access, read, and learn from — we never put our blog posts behind paywalls (unlike Medium blogs, for instance). https://www.pyimagesearch.com/category/keras-and-tensorflow/ https://t.me/DeepLearning_ai https://t.me/MachineLearning_Programming

58 029

All 57 of our deep learning tutorials to support Keras/TensorFlow 2! These tutorials are 100% free for you or anyone else in the world to access, read, and learn from — we never put our blog posts behind paywalls (unlike Medium blogs, for instance). 1. Join. @DeepLearning_ai https://www.pyimagesearch.com/category/keras-and-tensorflow/

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YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS