现已上线！2025 年 Telegram 研究 — 年度关键洞察 
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:
显示更多📈 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
帖子存档
Hierarchical Multi-Scale Attention for Semantic Segmentation
PyTorch implementation
Github: https://github.com/NVIDIA/semantic-segmentation
Video: https://www.youtube.com/watch?v=odAGA7pFBGA&feature=youtu.be
Paper: https://arxiv.org/abs/2005.10821
Method Details: https://www.cityscapes-dataset.com/method-details/?submissionID=7836
Multi-scale inference is commonly used to improve the results of semantic segmentation. combining multi-scale predictions. it to be roughly 4x more memory efficient to train than other recent approaches. In addition to enabling faster training, this allows us to train with larger crop sizes which leads to greater model accuracy.
The top 10 computer vision papers in 2020 with video demos, articles, code, and paper reference.
https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html
Join: https://t.me/DeepLearning_ai
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
https://deepai.org/publication/fast-and-furious-real-time-end-to-end-3d-detection-tracking-and-motion-forecasting-with-a-single-convolutional-net
Join: https://t.me/DeepLearning_ai
Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
Real-Time Lane Detection and alerts for Autonomous Driving
medium: https://towardsdatascience.com/real-time-lane-detection-and-alerts-for-autonomous-driving-1f0a021390ee
paper: https://arxiv.org/pdf/1807.01726.pdf
github repo: https://github.com/MaybeShewill-CV/lanenet-lane-detection
Join: https://t.me/DeepLearning_ai
Link of those books : https://bit.ly/2HXmaTK
join: https://t.me/DeepLearning_ai
Code accompanying the NeurIPS 2020 oral paper
Network-to-Network Translation with Conditional Invertible Neural Networks
Paper: https://compvis.github.io/net2net/
source codes: https://github.com/CompVis/net2net?utm_source=Deep+Learning+Weekly&utm_campaign=b85cddf829-EMAIL_CAMPAIGN_2019_04_24_03_18_COPY_01&utm_medium=email&utm_term=0_384567b42d-b85cddf829-156293989
join: https://t.me/DeepLearning_ai
NeurIPS 2020
NeurIPS (Neural Information Processing Systems), the largest machine learning and computational neuroscience conference will be held online on Dec 6-12.
https://crossminds.ai/explore/
join: https://t.me/DeepLearning_ai
https://t.me/MachineLearning_Programming
The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning.
1. https://lnkd.in/dXZWGUG
2. https://icml.cc/
3. https://t.me/DeepLearning_ai
4 Top AI/ML Github Repositories in November 2020
1. PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization: 2,558 Stars
2. Microsoft: Bring Old Photos Back To Life: 2892 Stars
3. Project Sherlock: 1952 Stars
1. https://towardsdatascience.com/4-top-ai-ml-github-repositories-in-november-2020-aa51656aaab9
2. https://t.me/DeepLearning_ai
10 Best and Free Machine Learning Courses, Online
https://www.kdnuggets.com/2019/12/best-free-machine-learning-courses-online.html
1. https://t.me/DeepLearning_ai
2. https://t.me/MachineLearning_Programming
Deep Learning Weekly
1. Industry
2. Mobile + Edge
3. Learning
4. Libraries & Code
5. Datasets
6. Papers & Publications
https://us16.campaign-archive.com/?u=de53bead690affb8e9a21de8f&id=0132de8f48
https://t.me/DeepLearning_ai
130 Machine Learning Projects Solved and Explained
https://medium.com/the-innovation/130-machine-learning-projects-solved-and-explained-605d188fb392
1. https://t.me/DeepLearning_ai
2. https://t.me/MachineLearning_Programming
Collection of books, papers, list of papers, blog or blog posts, articles.
1. https://github.com/marcofavorito/my-bookshelf/blob/master/bookshelf.tsv
2. https://t.me/DeepLearning_ai
New Approaches to Object Detection
source code: https://github.com/Ximilar-com/xcenternet
paper : https://arxiv.org/abs/1904.07850
https://towardsdatascience.com/new-approaches-to-object-detection-f5cbc925e00e
join: https://t.me/DeepLearning_ai
Multi-class object detection and bounding box regression with Keras, TensorFlow, and Deep Learning
https://www.pyimagesearch.com/2020/10/12/multi-class-object-detection-and-bounding-box-regression-with-keras-tensorflow-and-deep-learning/
JOIN: https://t.me/DeepLearning_ai
