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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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📈 Análisis del canal de Telegram Artificial Intelligence && Deep Learning

El canal Artificial Intelligence && Deep Learning (@deeplearning_ai) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 58 019 suscriptores, ocupando la posición 2 290 en la categoría Tecnologías y Aplicaciones y el puesto 5 977 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 58 019 suscriptores.

Según los últimos datos del 25 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -204, y en las últimas 24 horas de -8, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 9.58%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 5 556 visualizaciones. En el primer día suele acumular 0 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 16.
  • Intereses temáticos: El contenido se centra en temas clave como github, learning, estimation, dataset, engineer.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
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:

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 26 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

58 019
Suscriptores
-824 horas
-287 días
-20430 días
Archivo de publicaciones
https://t.me/CodingNews/399 Join @CodingNews to learn the latest technologies and trends in the world of web development 👨🏼‍💻 You are welcome to participate in a dev related discussions @CodingChat

Papers and code: AI section of Arxiv.org is useful if you are looking for the latest research papers. join👇👇👇 @DeepLearning_AI .https://arxiv.org/list/cs.AI/recent

Free online course from coursera.com Convolutional Neural Networks Skills you will gain: Facial Recognition System Tensorflow Convolutional Neural Network Artificial Neural Network * Foundations of Convolutional Neural Networks * Deep convolutional models: case studies * Object detection * Special applications: Face recognition & Neural style transfer join👇👇👇 @DeepLearning_AI .https://www.coursera.org/learn/convolutional-neural-networks

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Review: FPN — Feature Pyramid Network (Object Detection) What Is Covered: * Various Architecture in Literature * Feature Pyramid Network (FPN) * FPN for Region Proposal Network (RPN) * FPN for Detection Network * Ablation Experiments * Comparison with State-of-the-art Approaches join👇👇👇 @DeepLearning_AI . https://towardsdatascience.com/review-fpn-feature-pyramid-network-object-detection-262fc7482610

AI — Python Computer Vision Tutorial with OpenCV JOIN👇👇👇 @DeepLearning_AI
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AI — Python Computer Vision Tutorial with OpenCV JOIN👇👇👇 @DeepLearning_AI

@DeepLearning_AI List of Free Natural Language Processing Courses 1)Speech and Language Processing by Dan Jurafsky and James Martin https://web.stanford.edu/~jurafsky/slp3/ 2) Deep Learning for Natural Language Processing by Richard Socher (Stanford University) https://m.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6 3. Natural Language Processing (NLP) by Microsoft https://www.edx.org/course/natural-language-processing-nlp-2 4. Andrew Ng’s course on Machine Learning https://www.coursera.org/learn/machine-learning/home/welcome 5. The video lectures and resources for Stanford’s Natural Language Processing with Deep Learning http://web.stanford.edu/class/cs224n/ https://m.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6 6. Sequence Models for Time Series and Natural Language Processing https://www.coursera.org/learn/sequence-models-tensorflow-gcp?ranMID=40328&ranEAID=SAyYsTvLiGQ&ranSiteID=SAyYsTvLiGQ-ACNikbtJvh2d5Evme5yZQA&siteID=SAyYsTvLiGQ-ACNikbtJvh2d5Evme5yZQA&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ 7. Deep Natural Language Processing course offered in Hilary Term 2017 at the University of Oxford. http://www.cs.ox.ac.uk/teaching/courses/2016-2017/dl/ 8. Natural Language Processing Fundamentals in Python by Datacamp https://www.datacamp.com/courses/natural-language-processing-fundamentals-in-python 9 Natural Language Processing by Higher School of Economics https://www.coursera.org/learn/language-processing? 10 How to Build a Chatbot Without Coding by IBM https://www.coursera.org/learn/building-ai-powered-chatbots 11. CS 388: Natural Language Processing by University of Texas https://www.cs.utexas.edu/~mooney/cs388/ 12. Natural Language Processing with Python http://www.nltk.org/book/ 13. CSEP 517: Natural Language Processing by University of Washington https://courses.cs.washington.edu/courses/csep517/17sp/ 14. Dan Jurafsky & Chris Manning: Natural Language Processing https://m.youtube.com/playlist?list=PL8FFE3F391203C98C 15. NATURAL LANGUAGE PROCESSING by Carnegie Mellon University http://demo.clab.cs.cmu.edu/NLP/ 16. CS224n: Natural Language Processing with Deep Learning by Stanford University http://web.stanford.edu/class/cs224n/ join👇👇👇 @DeepLearning_AI

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https://t.me/CodingNews/384 Join @CodingNews to learn the latest technologies and trends in the world of web development 👨🏼‍💻 You are welcome to participate in a dev related discussions @CodingChat