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:

India5 977 Technologies & Applications2 290...

📈 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 58 019 subscribers, ranking 2 290 in the Technologies & Applications category and 5 977 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 58 019 subscribers.

According to the latest data from 25 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -204 over the last 30 days and by -8 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 9.58%. 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 5 556 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 26 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.

58 019

Subscribers

-824 hours

-287 days

-20430 days

5 556

Post views

No data24 hours

No data48 hours

9.58%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

58 019

Must-read papers on GNN Join👇👇👇 @DeepLearning_AI .https://github.com/thunlp/GNNPapers

58 019

Review: FSRCNN (Super Resolution) What Are Covered 1. Brief Review of SRCNNFSRCNN Network 2. ArchitectureExplanation of 1×1 Convolution Used in 3. Shrinking and Expanding 4. Explanation of Multiple 3×3 Convolutions in Non-Linear Mapping 5. Ablation Study 6. Results Join👇👇👇 @DeepLearning_AI .https://towardsdatascience.com/review-fsrcnn-super-resolution-80ca2ee14da4

58 019

Review: G-RMI — Winner in 2016 COCO Detection (Object Detection) Join👇👇👇 @DeepLearning_AI .https://towardsdatascience.com/review-g-rmi-winner-in-2016-coco-detection-object-detection-af3f2eaf87e4

58 019

The project is about predicting coronary heart disease by using three different ML algorithms Join👇👇👇 https://blog.goodaudience.com/heart-disease-prediction-aa656f2db585

58 019

The 5 Feature Selection Algorithms every Data Scientist should know Join👇👇👇 @DeepLearning_AI .https://towardsdatascience.com/the-5-feature-selection-algorithms-every-data-scientist-need-to-know-3a6b566efd2

58 019

Deepfakes, FaceGANS, and Synthetic Data: Welcome to the Reality Illusion of 2020 Join👇👇👇 @DeepLearning_AI .https://medium.com/swlh/deepfakes-facegans-and-the-rise-of-synthetic-data-welcome-to-2020-a54b88eecdf9

58 019

2D or 3D? A Simple Comparison of Convolutional Neural Networks for Automatic Segmentation of Cardiac Imaging 👇👇👇 @DeepLearning_AI .https://towardsdatascience.com/2d-or-3d-a-simple-comparison-of-convolutional-neural-networks-for-automatic-segmentation-of-625308f52aa7

58 019

A 2019 Guide to Object Detection 👇👇👇 @DeepLearning_AI .https://heartbeat.fritz.ai/a-2019-guide-to-object-detection-9509987954c3

58 019

Everything You Need to Know About Autoencoders in TensorFlow Join👇👇👇 @DeepLearning_AI .https://towardsdatascience.com/everything-you-need-to-know-about-autoencoders-in-tensorflow-b6a63e8255f0

58 019

The Best Machine Learning Research of 2019 So Far - ODSC - Open Data Science - Medium Join👇👇👇 @DeepLearning_AI .https://medium.com/@ODSC/the-best-machine-learning-research-of-2019-so-far-954120947794

58 019

Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library 1st Edition join👇👇👇 @DeepLearning_AI Who This Book Is For This book contains descriptions, working code examples, and explanations of the C++ computer vision tools contained in the OpenCV 3.x library. Thus, it should be helpful to many different kinds of users: Professionals and entrepreneurs For practicing professionals who need to rapidly prototype or professionally implement computer vision systems, the sample code provides a quick frame‐ work with which to start. Our descriptions of the algorithms can quickly teach or remind the reader how they work. OpenCV 3.x sits on top of a hardware acceler‐ ation layer (HAL) so that implemented algorithms can run efficiently, seamlessly taking advantage of a variety of hardware platforms. Students.... Teachers.... Hobbyist....

58 019

Video classification with Keras and Deep Learning join👇👇👇 @DeepLearning_AI .https://www.pyimagesearch.com/2019/07/15/video-classification-with-keras-and-deep-learning/

58 019

Advancing Semi-supervised Learning with Unsupervised Data Augmentation join👇👇👇 @DeepLearning_AI .https://ai.googleblog.com/2019/07/advancing-semi-supervised-learning-with.html

58 019

FREE COURSE Intro to TensorFlow for Deep Learning This course is a practical approach to deep learning for software developers join👇👇👇 @DeepLearning_AI .https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187

58 019

Your State of AI Report 2019 join👇👇👇 @DeepLearning_AI .https://medium.com/@NathanBenaich/state-of-ai-2019-733c81aeb04b

58 019

Landmark Assisted CycleGAN for Cartoon Face Generation join👇👇👇 @DeepLearning_AI .https://deepai.org/publication/landmark-assisted-cyclegan-for-cartoon-face-generation

58 019

The Secret to Mastering ML join👇👇👇 @DeepLearning_AI .https://medium.com/technomancy/the-secret-to-mastering-ml-9e328d5f06a

58 019

500+ awesome bookmarks for Data Science & Machine Learning join👇👇👇 @DeepLearning_AI .https://towardsdatascience.com/500-free-high-quality-online-resources-for-data-science-machine-learning-7eda5bf33872

58 019

Computer Vision: A Study On Different CNN Architectures and their Applications join👇👇👇 @DeepLearning_AI .https://medium.com/alumnaiacademy/introduction-to-computer-vision-4fc2a2ba9dc

58 019

AI Scholar: Human vs Machine Attention in Neural Networks join👇👇👇 @DeepLearning_AI .https://medium.com/ai%C2%B3-theory-practice-business/ai-scholar-human-vs-machine-attention-in-neural-networks-69a8b59e577f