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 58 029 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 58 029 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。

58 029

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

YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS # [Tutorial] :https://blog.roboflow.ai/how-to-train-yolov5-on-a-custom-dataset/ # [Video] : https://www.youtube.com/watch?v=MdF6x6ZmLAY&feature=youtu.be #[Repo] : https://github.com/ultralytics/yolov5 #[Colab Notebook] : https://colab.research.google.com/drive/1gDZ2xcTOgR39tGGs-EZ6i3RTs16wmzZQ 1. Join. @DeepLearning_ai https://blog.roboflow.ai/yolov5-is-here/

58 029

YOLOv5 Controversy — Is YOLOv5 Real? 1. @DeepLearning_ai https://medium.com/swlh/yolov5-controversy-is-yolov5-real-20e048bebb08

58 029

DEEP LEARNING WITH PYTORCH Deep Learning with PyTorch provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open source machine learning framework. This full book includes: * Introduction to deep learning and the * PyTorch library * Pre-trained networks * Tensors * The mechanics of learning * Using a neural network to fit data * Using convolutions to generalize * Real-world examples: Building a neural * network designed for cancer detection * Deploying to production 1. Join: @DeepLearning_ai

58 029

Effective Python: 90 Specific Ways to Write Better Python (2nd Edition) (Effective Software Development Series) 1. Join: @DeepLearning_ai

58 029

Real time face recognition with Android + TensorFlow Lite The impressive effect of having the state-of-the-art running on your hands 1. @DeepLearning_ai 2. https://medium.com/@estebanuri/real-time-face-recognition-with-android-tensorflow-lite-14e9c6cc53a5

58 029

The best FREE combined Computer Science curriculum 1. @DeepLearning_ai 2. https://laconicml.com/computer-science-curriculum/

58 029

WELCOME TO PYTORCH TUTORIALS 1. t.me/DeepLearning_ai 2. t.me/ComputerScience_MachineLearning 3 .https://pytorch.org/tutorials/

58 029

1.Join: t.me/DeepLearning_ai 2.Join: t.me/ComputerScience_MachineLearning Paper: https://arxiv.org/pdf/2005.12872.pdf Github (source codes): https://github.com/facebookresearch/detr youtube source: (paper explained): https://www.youtube.com/watch?v=T35ba_VXkMY

58 029

End-to-end object detection with Transformers

58 029

Tesseract OCR: Text localization and detection In this tutorial, you will learn how to utilize Tesseract to detect, localize, and OCR text, all within a single, efficient function call. 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://www.pyimagesearch.com/2020/05/25/tesseract-ocr-text-localization-and-detection/

58 029

Image inpainting with OpenCV and Python 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://www.pyimagesearch.com/2020/05/18/image-inpainting-with-opencv-and-python/

58 029

Deepfakes Series Part1=>Part2=>Part3=>Part4 Finally, our last part of the series looks at detecting Deepfakes videos with machine learning (ML) and/or deep learning (DL). 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://medium.com/@jonathan_hui/deepfakes-series-7138afb825cc

58 029

[CVPR 2020] Learning to See Through Obstructions 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning Paper: https://arxiv.org/abs/2004.01180 Project Page: https://www.cmlab.csie.ntu.edu.tw/~yulunliu/ObstructionRemoval Github: https://github.com/alex04072000/ObstructionRemoval

58 029

400+ textbooks free to download CS books on Python, deep learning, data science & AI. You are now only searching within the Free Textbooks and Library Link special issue during Covid 19 package 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning 3. http://bit.ly/SpringerCS

58 029

YOLOv4: Optimal Speed and Accuracy of Object Detection 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning 1. Paper Yolo v4: https://arxiv.org/abs/2004.10934 2. source code: https://github.com/AlexeyAB/darknet

58 029

Springer releases 65 Machine Learning and Data Science books for free 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://techgrabyte.com/springer-released-65-machine-learning-data-science-books-free/?fbclid=IwAR1WhzfMHZenhUaXhYZHdLAn6y5MPJXGycF_qQ7NpGjHYFfAlNhojNR7w6g

58 029

Guide how to learn and master computer vision in 2020 This post will focus on resources, which I believe will boost your knowledge in computer vision the most and mainly based on my own experience. 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://towardsdatascience.com/guide-to-learn-computer-vision-in-2020-36f19d92c934

58 029

Measuring distance between objects in an image with OpenCV 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://www.pyimagesearch.com/2016/04/04/measuring-distance-between-objects-in-an-image-with-opencv/?fbclid=IwAR3DVXClBY0N8Hdv17JdIfCCyo2tdxJp8dRistQdcV7-k_99qzR7IF0AQZE

58 029

The TensorFlow tutorials are written as Jupyter notebooks and run directly in Google Colab—a hosted notebook environment that requires no setup. FROM BEGINNERS TO EXPERTS * Source Codes * Videos * Libraries and extensions https://www.tensorflow.org/tutorials

58 029

Pytorch: Step by Step implementation 3D Convolution Neural Network Leran on how to code a PyTorch implementation of 3d CNN 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://towardsdatascience.com/pytorch-step-by-step-implementation-3d-convolution-neural-network-8bf38c70e8b3