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Artificial Intelligence && Deep Learning

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

Канал Artificial Intelligence && Deep Learning (@deeplearning_ai) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 58 029 подписчиков, занимая 2 289 место в категории Технологии и приложения и 6 003 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 58 029 подписчиков.

Согласно последним данным от 24 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -193, а за последние 24 часа — 17, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 9.42%. В первые 24 часа после публикации контент обычно набирает N/A% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 5 467 просмотров. В течение первых суток публикация набирает 0 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 16.
  • 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 25 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.

58 029
Подписчики
+1724 часа
-237 дней
-19330 день
Архив постов
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; 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://github.com/ChanChiChoi/awesome-Face_Recognition#face-detection--face-segmentation

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 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning 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. 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://medium.com/swlh/how-to-detect-defects-on-images-16d6cf3ddc1a

Top 21 Machine Learning Project Ideas for 2020 [Source Code Included] 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://data-flair.training/blogs/machine-learning-project-ideas/

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. 1.Join 👉@DeepLearning_ai 2. Join:https://www.facebook.com/groups/MachineLearningSource/ 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 (👉with source code) In this tutorial, you will learn how to perform anomaly and outlier detection using autoencoders, Keras, and TensorFlow. 1.Join 👉@MachineLearning_DeepLearning_ai 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 👉@DeepLearning_AI 2. https://medium.com/@jonathan_hui/detect-ai-generated-images-deepfakes-part-1-b518ed5075f4

Face Technology Repository

An awesome face technology repository. *[Papers] *[Source codes] *[MXNet] *[PyTorch] 1. join us 👉@DeepLearning_AI 2. https://github.com/becauseofAI/HelloFace

Hands-On Speech Recognition Engine with Keras and Python (with source code) 1. Join👉@DeepLearning_AI 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 o
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. 1. Join👉@DeepLearning_AI 2.https://www.cambridge.org/core/what-we-publish/textbooks

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 Science’s Dimensions. 1. Join👉@DeepLearning_AI 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 1. Join👉@DeepLearning_AI 2. https://blog.tensorflow.org/2020/03/face-and-hand-tracking-in-browser-with-mediapipe-and-tensorflowjs.html?linkId=83996111&m=1

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 1. Join👉@DeepLearning_AI 2. https://www.freecodecamp.org/news/free-online-programming-cs-courses/