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

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/

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

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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

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

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

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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

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End-to-end object detection with Transformers

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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

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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

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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

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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

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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

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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

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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