Available now! Telegram Research 2025 β the year's key insights 
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:
Show moreπ 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.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, 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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βChannel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact:β
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
Posts Archive
Awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
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https://github.com/ChanChiChoi/awesome-Face_Recognition#face-detection--face-segmentation
Machine Learning and Data Science free online courses to do in quarantine
A. Beginner courses
1. Machine Learning
2. Machine Learning with Python
B. Intermediate courses
3. Neural Networks and Deep Learning
4. Convolutional Neural Networks
C. Advanced course
5. Advanced Machine Learning Specialization
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2.Join π@ComputerScience_MachineLearning
https://towardsdatascience.com/machine-learning-free-online-courses-from-beginner-to-advanced-f50982dce950
Data Augmentation for Object detection: Rethinking image transforms for bounding boxes
1. Part 1: Basic Design and Horizontal Flipping
2. Part 2: Scaling and Translation
3. Part 3: Rotation and Shearing
4. Part 4: Baking augmentation into input pipelines
GitHub Repo
Everything from this article and the entire augmentation library can be found in the following GitHub Repo.
https://github.com/Paperspace/DataAugmentationForObjectDetection
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https://medium.com/paperspace/data-augmentation-for-object-detection-rethinking-image-transforms-for-bounding-boxes-fe229905a1c3
How to detect defects on images
Building a visual quality control system to check your products on a few clicks with Convolutional Neural Networks and Ximilar platform.
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https://medium.com/swlh/how-to-detect-defects-on-images-16d6cf3ddc1a
Top 21 Machine Learning Project Ideas for 2020 [Source Code Included]
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https://data-flair.training/blogs/machine-learning-project-ideas/
Detect AI-generated Images & Deepfakes (Part 2)
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2. Join πhttps://www.facebook.com/groups/MachineLearningSource/
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* Part 1:ππ
https://medium.com/@jonathan_hui/detect-ai-generated-images-deepfakes-part-1-b518ed5075f4
* Part 2: πππ
https://medium.com/@jonathan_hui/detect-ai-generated-images-deepfakes-part-2-436c57eeb878
OpenCV Text Detection (EAST text detector)
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2. Join:https://www.facebook.com/groups/MachineLearningSource/
3.@ComputerScience_MachineLearning
https://www.pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/?utm_source=facebook&utm_medium=ad-16-03-2020&utm_campaign=%7B%7Bcampaign.name%7D%7D&utm_content=%7B%7Bad.name%7D%7D&fbid_campaign=%7B%7Bcampaign.id%7D%7D&fbid_adset=%7B%7Badset.id%7D%7D&utm_adset=%7B%7Badset.name%7D%7D&fbid_ad=%7B%7Bad.id%7D%7D&fbclid=IwAR2gszIRlwWDQ6eQSU5IFjKF8FUbfGKNnXOP6gNlC5xZASL_r6ee83jR3tk
Here are 450 Ivy League courses you can take online right now for free.
The eight Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia Universities, and the University of Pennsylvania.
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3.@ComputerScience_MachineLearning
https://www.freecodecamp.org/news/here-are-380-ivy-league-courses-you-can-take-online-right-now-for-free-9b3ffcbd7b8c/
Anomaly detection with Keras, TensorFlow, and Deep Learning (πwith source code)
In this tutorial, you will learn how to perform anomaly and outlier detection using autoencoders, Keras, and TensorFlow.
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2. Join:https://www.facebook.com/groups/MachineLearningSource/
3.https://www.pyimagesearch.com/2020/03/02/anomaly-detection-with-keras-tensorflow-and-deep-learning/
Detect AI-generated Images & Deepfakes (Part 1)
Who wants to be a millionaire? 2,913 competitors say so for the total one million prize money in the Deepfake Detection Challenge (DFDC). The goal of the March 2020 challenge is to create technologies that detect Deepfakes and manipulated media.
Join us π@DeepLearning_AI
2. https://medium.com/@jonathan_hui/detect-ai-generated-images-deepfakes-part-1-b518ed5075f4
An awesome face technology repository.
*[Papers]
*[Source codes]
*[MXNet]
*[PyTorch]
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2. https://github.com/becauseofAI/HelloFace
Hands-On Speech Recognition Engine with Keras and Python (with source code)
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2. https://medium.com/@fortes.arthur/hands-on-speech-recognition-engine-with-keras-and-python-c60488ac53cd
Cambridge University Press is making higher education textbooks in HTML format free to access online during the coronavirus outbreak.
Over 700 textbooks, published and currently available, on Cambridge Core are available regardless of whether textbooks were previously purchased.
Free access is available until the end of May 2020.
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2.https://www.cambridge.org/core/what-we-publish/textbooks
Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning
by Adrian Rosebrock on March 16, 2020
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2. https://www.pyimagesearch.com/2020/03/16/detecting-covid-19-in-x-ray-images-with-keras-tensorflow-and-deep-learning/?fbclid=IwAR1dRprtpFZ4GSbNlSPcwSCe7jHcFVZ4dA9UBUjaaKUxr5ViAGsnaWNgjGs
Top 100 in Neuroscience
This collection highlights our most downloaded* neuroscience papers published in 2019. Featuring authors from around the world, these papers feature valuable research from an international community.
*Data obtained from SN Insights which is based on Digital Scienceβs Dimensions.
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2. https://www.nature.com/collections/cgaefaegbi?utm_source=facebook&utm_medium=social&utm_content=ads&utm_campaign=JRPC_4_SC01_OT_Scirep_Top100neuro_fb&fbclid=IwAR18LhWeQJV2I9GbnP_79fChaGfAqIQ94ZJG7C75-Vqp-LKJ71fDXyP65uM
Face and hand tracking in the browser with MediaPipe and TensorFlow.js
Posted by Ann Yuan and Andrey Vakunov, Software Engineers at Google
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2. https://blog.tensorflow.org/2020/03/face-and-hand-tracking-in-browser-with-mediapipe-and-tensorflowjs.html?linkId=83996111&m=1
Speech Recognition β Deep Speech, CTC, Listen, Attend, and Spell
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https://medium.com/@jonathan_hui/speech-recognition-deep-speech-ctc-listen-attend-and-spell-d05e940e9ed1
610 Free Online Programming & Computer Science Courses You Can Start This March
These courses sorted into the following categories based on their difficulty level:
* Beginner
* Intermediate
* Advanced
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2. https://www.freecodecamp.org/news/free-online-programming-cs-courses/
