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

58 029

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

58 029

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

58 029

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

58 029

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

58 029

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

58 029

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

58 029

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

58 029

JOIN US

58 029

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

58 029

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

58 029

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

58 029

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

58 029

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

58 029

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

58 029

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

58 029

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

58 029

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

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). 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/

58 029

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