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:

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Индия6 023 Технологии и приложения2 297...

📈 Аналитический обзор Telegram-канала Artificial Intelligence && Deep Learning

Канал Artificial Intelligence && Deep Learning (@deeplearning_ai) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 58 024 подписчиков, занимая 2 297 место в категории Технологии и приложения и 6 023 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 58 024 подписчиков.

Согласно последним данным от 23 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -218, а за последние 24 часа — -10, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 8.90%. В первые 24 часа после публикации контент обычно набирает N/A% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 5 163 просмотров. В течение первых суток публикация набирает 0 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 15.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как github, learning, estimation, dataset, engineer.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“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:”

Благодаря высокой частоте обновлений (последние данные получены 24 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

58 024

Подписчики

-1024 часа

-557 дней

-21830 день

5 163

Просмотры поста

Нет данных24 часа

Нет данных48 часов

8.90%

Коэффициент вовлеченности

Нет данных

Постов в день

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Архив постов

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👋 Welcome to @realgroupforprogrammer 👋 𝗟𝗲𝗮𝗿𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 👨‍💻 𝗟𝗲𝗮𝗿𝗻 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗛𝗮𝗰𝗸𝗶𝗻𝗴 🚀 𝗟𝗲𝗮𝗿𝗻 𝗕𝗹𝗮𝗰𝗸𝗛𝗮𝘁 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 💙 𝗔𝗻𝗱 𝗺𝘂𝗰𝗵 𝗺𝗼𝗿𝗲 𝗹𝗮𝘁𝗲𝘀𝘁 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗺𝗲𝘁𝗵𝗼𝗱𝘀, 𝘁𝗶𝗽𝘀 𝗮𝗻𝗱 𝘁𝗿𝗶𝗰𝗸𝘀. 💻 𝗛𝗲𝗿𝗲 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗹𝗲𝗮𝗿𝗻 :- 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴, 𝗛𝗮𝗰𝗸𝗶𝗻𝗴, 𝗖𝗿𝗮𝗰𝗸𝗶𝗻𝗴, 𝗪𝗲𝗯 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, 𝗔𝗽𝗽 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴, 𝗚𝗿𝗮𝗽𝗵𝗶𝗰 𝗱𝗲𝘀𝗶𝗴𝗻, 𝗔𝗻𝗶𝗺𝗮𝘁𝗶𝗼𝗻, 𝗩𝗶𝗱𝗲𝗼 𝗲𝗱𝗶𝘁𝗶𝗻𝗴, 𝗣𝗵𝗼𝘁𝗼𝗴𝗿𝗮𝗽𝗵𝘆, 𝗣𝗵𝗼𝘁𝗼𝘀 𝗲𝗱𝗶𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗺𝗮𝗻𝘆 𝗺𝗼𝗿𝗲 𝗹𝗼𝘁𝘀 𝗼𝗳 𝘁𝗵𝗶𝗻𝗴 𝗶𝗻 𝗳𝗿𝗲𝗲 📚🏅🎖 ✅ 𝗔 𝗰𝗹𝗲𝗮𝗻 𝗹𝗶𝗯𝗿𝗮𝗿𝘆 𝗳𝗼𝗿 𝗴𝗲𝗲𝗸𝘀. 𝗚𝗲𝘁 𝗕𝘂𝗴 𝗕𝗼𝘂𝗻𝘁𝘆, 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴, 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗛𝗮𝗰𝗸𝗶𝗻𝗴, 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 & 𝗹𝗼𝘁 𝗺𝗼𝗿𝗲 𝗹𝗮𝘁𝗲𝘀𝘁 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗯𝗮𝘀𝗲𝗱 𝗲𝗕𝗼𝗼𝗸𝘀. 𝗜𝗻 𝘁𝗵𝗶𝘀 𝗖𝗵𝗮𝗻𝗻𝗲𝗹, 𝗬𝗼𝘂 𝘄𝗶𝗹𝗹 𝗴𝗲𝘁 𝗨𝗱𝗲𝗺𝘆 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀, 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝗿𝗮 𝗖𝗼𝘂𝗿𝘀𝗲𝘀, & 𝗙𝗿𝗲𝗲𝗢𝗻𝗹𝗶𝗻𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀. 𝙁𝙤𝙧 𝙛𝙧𝙚𝙚 𝙘𝙤𝙪𝙧𝙨𝙚𝙨,𝙗𝙤𝙤𝙠𝙨,𝙥𝙧𝙤𝙟𝙚𝙘𝙩𝙨,𝙞𝙣𝙩𝙚𝙧𝙣𝙨𝙝𝙞𝙥𝙨,𝙥𝙡𝙖𝙘𝙚𝙢𝙚𝙣𝙩𝙨 𝙖𝙣𝙙 𝙟𝙤𝙗𝙨 𝙧𝙚𝙡𝙖𝙩𝙚𝙙 𝙢𝙖𝙩𝙚𝙧𝙞𝙖𝙡𝙨 𝙖𝙣𝙙 𝙪𝙥𝙙𝙖𝙩𝙚𝙨 𝙟𝙤𝙞𝙣 𝙤𝙪𝙧 𝙩𝙚𝙡𝙚𝙜𝙧𝙖𝙢 𝙘𝙝𝙖𝙣𝙣𝙚𝙡: https://t.me/realgroupforprogrammer 𝗦𝗼 𝘄𝗵𝗮𝘁 𝗮𝗿𝗲 𝘆𝗼𝘂 𝘄𝗮𝗶𝘁𝗶𝗻𝗴 𝗳𝗼𝗿? 𝗝𝗼𝗶𝗻 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄👍 https://t.me/realgroupforprogrammer

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Harvard CS109A #DataScience course materials — huge collection free & open! 1. Lecture notes 2. R code, #Python notebooks 3. Lab material 4. Advanced sections and more ... https://harvard-iacs.github.io/2019-CS109A/pages/materials.html It will be really useful for you invite your friends 🌹🌹 @Deeplearning_ai

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CVPR 2022 Open Access... Open Access versions, provided by the Computer Vision Foundation. Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore.

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EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks Official PyTorch implementation of the CVPR 2022 paper.

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Kickstart your developer journey with free courses and cash rewards for you time in one place 📚💰 Use code "aideeplearning" to gain access: https://bit.ly/3KU21bq 👈 StackUp is a platform for devs where you can learn programming & Web3.0 technologies, all while earning. Get rewarded for completing a variety of learning quests. With new campaigns each week, you can earn from a pool of over 10 000USD in cash rewards each month. This month's campaign has a total pool of 30 000USD worth of rewards! 🚀

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Accelerate AI training in a few lines of code without changing the training setup. https://github.com/nebuly-ai/nebulgym invite your friends 🌹🌹 @Deeplearning_ai

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[CVPR 2022] PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision (Oral) https://github.com/Garfield-kh/PoseTriplet invite your friends 🌹🌹 @Deeplearning_ai

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Free programming courses & quests with cash rewards for your time in one place 📚💰 StackUp [app.stackup.dev] is a platform made for devs where you can learn about programming languages like Rust, Python, Go, Solidity, and other technologies, and earn while learning. Rewards are given after successful completion of quests. With new campaigns every week, you can earn from a pool of over 10,000USD in cash rewards each month! To sign up use code "machinelearning0" and gain early access: https://bit.ly/3FpfqHr Hope it helps you to level up in the community and master different tools essential to your career as a developer! 🚀

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At DAIR.AI we heart open education. We are excited to share some of the best and most recent machine learning courses available on YouTube. Hot topics: 1. Stanford CS229: Machine Learning 2. Practical Deep Learning for Coders (2020) 3. Deep Unsupervised Learning 4. Advanced NLP 5. Deep Learning for Computer Vision 6. Deep Reinforcement Learning 7. Full Stack Deep Learning 8. Self-Driving Cars (Tübingen) https://github.com/dair-ai/ML-YouTube-Courses invite your friends 🌹🌹 @Deeplearning_ai

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If you are learning Machine Learning and wants to make end-to-end Machine Learning real-world projects, then this website can be a great resource for you. It has project bundle(Dragon bundle) comprising more than 550+ real-world projects in ML, DL, DS, CV and NLP and PYTHON3. More details are showned in the image above. - Each project comes with required Dataset, complete source code(Python3) and documentation along with explanatory comments so that even beginner can understand. - Life time access and projects are getting updates each month. You can download the list of complete 550+ projects from our website. Visit our website for more information. Website Link: https://tensorprojects.com/dragonbundle

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FLAG: Flow-based 3D Avatar Generation from Sparse Observations. [PAPER] [Project Page]

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Realtime Object-aware Monocular Depth Estimation in Onboard Systems Video Paper Bibtex invite your friends 🌹🌹 @Deeplearning_ai

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Multi Task Learning for 3D segmentation Perception stack of an Autonomous Driving system often contains multiple neural networks working together to predict bounding boxes, segmentation maps, depth maps, lane lines etc. Having a separate neural network for each task creates an heavy impact on system's processing speed. https://github.com/adithyagaurav/Multi_Task_Learning invite your friends 🌹🌹 @Deeplearning_ai

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obss/sahi: A lightweight vision library for performing large scale object detection/ instance segmentation. https://github.com/obss/sahi

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Image Super Resolution - PyImageSearch https://pyimagesearch.com/2022/02/14/image-super-resolution/ invite your friends 🌹🌹 @Deeplearning_ai .

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Want to jump ahead in artificial intelligence and/or digital pathology? Excited to share that after 2+ years of development PathML 2.0 is out! An open source #computational #pathology software library created by Dana-Farber Cancer Institute/Harvard Medical School and Weill Cornell Medicine led by Massimo Loda to lower the barrier to entry to #digitalpathology and #artificialintelligence , and streamline all #imageanalysis or #deeplearning workflows. ⭐ Code: https://github.com/Dana-Farber-AIOS/pathml

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321 Open Source Pytorch Implementation Software Projects Free and open source pytorch implementation code projects including engines, APIs, generators, and tools. https://opensourcelibs.com/libs/pytorch-implementation invite your friends 🌹🌹 t.me/MachineLearning_Programming .

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The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. https://www.ritchieng.com/the-incredible-pytorch/ https://github.com/ritchieng/the-incredible-pytorch @deeplearning_ai