en
Feedback
Artificial Intelligence && Deep Learning

Artificial Intelligence && Deep Learning

Open in 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:

Show more

πŸ“ˆ 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.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, 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.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œChannel 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
Posts Archive
* What is Neural Network ? * How Neural Networks learn ? * What is backpropagation ? * What is Gradient DEscent ? * and other Deep learning secrets πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI

The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI

The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI
The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI

16 OpenCV Functions to Start your Computer Vision journey (with Python code) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI
16 OpenCV Functions to Start your Computer Vision journey (with Python code) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI

Everything you need to know about Neural Networks and Backpropagationβ€Šβ€”β€ŠMachine Learning Made Easy… https://towardsdatascience.com/everything-you-need-to-know-about-neural-networks-and-backpropagation-machine-learning-made-easy-e5285bc2be3a

AI, Python, Machine Learning, Cognitive Neuroscience @AI_Python in english Admins: @MeysamAsgariC @farzadHEYdaryy https://t.me/ai_python_en

Collection of free 51 ebooks for Python programming | electronics for you !!!!

Programming Interview Questions - Microsoft, Amazon, Google, Facebook - Programs, Books, Puzzles, Placement Tests- Answers/Hints at the end πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI

6 Fun Machine Learning Projects for Beginner

MIT Introduction to Deep Learning. * MIT 6.S191: Introduction to Deep Learning is an introductory course offered formally at MIT and open-sourced on its course website. * The class consists of a series of foundational lectures on the fundamentals of neural networks and their applications to sequence modeling, computer vision, generative models, and reinforcement learning. πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI

650 Free Online Programming & Computer Science Courses You Can Start This Summer 1. Beginner (154) 2. Intermediate (362) 3. Advanced (134) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ @DeepLearning_AI