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:

📈 نظرة تحليلية على قناة تيليجرام Artificial Intelligence && Deep Learning

تُعد قناة Artificial Intelligence && Deep Learning (@deeplearning_ai) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 57 975 مشتركاً، محتلاً المرتبة 2 281 في فئة التكنولوجيات والتطبيقات والمرتبة 5 949 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 57 975 مشتركاً.

بحسب آخر البيانات بتاريخ 12 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -102، وفي آخر 24 ساعة بمقدار -7، مع بقاء الوصول العام مرتفعاً.

حالة التحقق: غير موثّقة
معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 11.77‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً N/A‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
وصول المنشورات: يحصل كل منشور على متوسط 0 مشاهدة. وخلال اليوم الأول يجمع عادةً 0 مشاهدة.
التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 0.
الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل github, learning, estimation, dataset, engineer.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“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:”

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 13 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

57 975

المشتركون

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-357 أيام

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6 826

عرض المشاهدات

لا توجد بيانات24 ساعات

لا توجد بيانات48 ساعات

11.77%

معدل المشاركة

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57 975

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Algorithms online Course from PRINCETON UNIVERSITY About this Course This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. It does not offer a certificate upon completion 👇👇👇👇👇 @DeepLearning_AI . https://www.coursera.org/learn/algorithms-part1?ranMID=40328&ranEAID=SAyYsTvLiGQ&ranSiteID=SAyYsTvLiGQ-ayH4CcL5jMTprP4tidKo4g&siteID=SAyYsTvLiGQ-ayH4CcL5jMTprP4tidKo4g&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ

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👇👇👇👇👇 @DeepLearning_AI . https://towardsdatascience.com/the-quest-of-higher-accuracy-for-cnn-models-42df5d731faf

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DeepMind & Google Graph Matching Network Outperforms GNN DeepMind and Google researchers have proposed a powerful new graph matching network (GMN) model for the retrieval and matching of graph structured objects. GMN uses similarity learning for graph structured objects and outperforms graph neural network (GNN) models on graph similarity learning (GSL) tasks. 👇👇👇👇👇 @DeepLearning_AI . https://medium.com/syncedreview/deepmind-google-graph-matching-network-outperforms-gnn-c277d3ca6f75

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On Choosing a Deep Reinforcement Learning Library As Deep Reinforcement Learning is becoming one of the most hyped strategies to achieve AGI (aka Artificial General Intelligence) more and more libraries are developed. And choosing the best for your needs can be a daunting task… 👇👇👇👇👇 @DeepLearning_AI . https://medium.com/data-from-the-trenches/choosing-a-deep-reinforcement-learning-library-890fb0307092

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https://blog.evjang.com/2019/05/fun-with-snapchats-gender-swapping.html 👇👇👇👇👇 @DeepLearning_AI

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Fun with Snapchat's Gender Swapping Filter 👇👇👇👇👇 @DeepLearning_AI

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How to become an expert in NLP in 2019 (1) 👇👇👇👇👇 @DeepLearning_AI . https://medium.com/@kushajreal/how-to-become-an-expert-in-nlp-in-2019-1-945f4e9073c0

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My Top 5 Recommended Places to Learn about Deep Learning and Machine Learning 👇👇👇👇👇 @DeepLearning_AI . https://medium.com/datadriveninvestor/my-top-5-recommended-places-to-learn-about-deep-learning-and-machine-learning-f95153a847e

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Live Object Detection – Towards Data Science 👇👇👇👇👇 @DeepLearning_AI . https://towardsdatascience.com/live-object-detection-26cd50cceffd

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Edge Detection in Opencv 4.0, A 15 Minutes Tutorial 👇👇👇👇👇👇 @DeepLearning_AI . https://blog.sicara.com/opencv-edge-detection-tutorial-7c3303f10788

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https://medium.com/analytics-vidhya/a-step-by-step-introduction-to-the-basic-object-detection-algorithms-part-1-c61bebaf1038 👇👇👇👇👇 @DeepLearning_AI

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A Step-by-Step Introduction to the Basic Object Detection Algorithms Table of Contents A Simple Way of Solving an Object Detection Task (using Deep Learning) Understanding Region-Based Convolutional Neural Networks 1. Intuition of RCNN 2. Problems with RCNN Understanding Fast RCNN 1. Intuition of Fast RCNN 2. Problems with Fast RCNN Understanding Faster RCNN 1. Intuition of Faster RCNN 2. Problems with Faster RCNN Summary of the Algorithms covered

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https://courses.edx.org/courses/course-v1:Microsoft+DAT236x+1T2019a/course/?utm_content=c4a08550-abeb-415c-9af4-7f853b5b0fdf&utm_medium=email&utm_campaign=recurringnudge_day10&utm_source=schedules&utm_term=course-v1%3AMicrosoft%2BDAT236x%2B1T2019a 👇👇👇👇👇 @DeepLearning_AI

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Deep Learning Explained (FREE COURSE) Welcome to course 1 | Introduction and Overview 2 | Multi-class Classification using Logistic Regression 3 | Multi-Layer Perceptron 4 | Convolution Neural Network 5 | Recurrent Neural Network and Long Short Term Memory 6 | Text Classification with RNN and LSTM Wrap-up and Post-Course Survey 👇👇👇👇👇 @DeepLearning_AI

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China is about to overtake America in AI research China will publish more of the most-cited 50 percent of papers than America for the first time this year https://www.theverge.com/2019/3/14/18265230/china-is-about-to-overtake-america-in-ai-research 👇👇👇👇👇 @DeepLearning_AI .

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Machine Learning is Fun! The world’s easiest introduction to Machine Learning https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471 👇👇👇👇👇 @DeepLearning_AI

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TOP 10 FREE DEEP LEARNING MASSIVE OPEN ONLINE COURSES : 1. Deep Learning by Google 2. Neural Networks and Deep Learning 3. Algorithms: Design and Analysis 4. Machine Learning 5. Improving Deep Neural Networks 6. Deep Learning Lecture 7. Neural Networks for Machine Learning 8. Creative Applications of Deep Learning with TensorFlow 9. Introduction to Deep Learning 10. Deep Learning for Self-Driving Cars 👇👇👇👇👇 @DeepLearning_AI https://edgy.app/top-10-free-deep-learning-moocs

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Initializing neural networks Initialization can have a significant impact on convergence in training deep neural networks. Simple initialization schemes can accelerate training, but they require care to avoid common pitfalls. In this post, we’ll explain how to initialize neural network parameters effectively. 👇👇👇👇👇 @DeepLearning_AI https://www.deeplearning.ai/ai-notes/initialization/

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https://www.youtube.com/watch?v=aircAruvnKk&list=PLLMP7TazTxHrgVk7w1EKpLBIDoC50QrPS 👇👇👇👇👇 @DeepLearning_AI