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 58 015 subscribers, ranking 2 287 in the Technologies & Applications category and 5 975 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 58 015 subscribers.

According to the latest data from 26 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -185 over the last 30 days and by -1 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 9.83%. 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 0 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 0.
  • 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 27 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.

58 015
Subscribers
-124 hours
-107 days
-18530 days
Posts Archive
Booklist: Machine Learning Math Other Resources...

I higly recommend to read this blog completely: In my opinion, it helps to improve your coding skill and also you can get more valuable information about Computer Science and so on

1albon_c_machine_learning_with_p.pdf3.37 MB

Machine Learning with Python Cookbook #2018

Starting with Python-@PythonForever.pdf6.65 MB

Starting out with Python #2018
Starting out with Python #2018

SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color https://github.com/JoYoungjoo/SC-FEGAN

Regularized Evolution for Image Classifier Architecture Search I highly recommend to read this paper. it is very benifecial for image classification a new state-of-the-art in 2019