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:

India6 003 Tecnologías y Aplicaciones2 289...

📈 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 58 023 suscriptores, ocupando la posición 2 289 en la categoría Tecnologías y Aplicaciones y el puesto 6 003 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 58 023 suscriptores.

Según los últimos datos del 24 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -193, y en las últimas 24 horas de 17, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 9.42%. 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 5 467 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 25 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.

58 023

Suscriptores

+1724 horas

-237 días

-19330 días

5 467

Visitas de la publicación

Sin datos24 horas

Sin datos48 horas

9.42%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

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This is a list of awesome articles about object detection. If you want to read the paper according to time https://github.com/amusi/awesome-object-detection https://t.me/MachineLearning_Programming 👉https://t.me/DeepLearning_ai

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Object Detection and Tracking in 2020 (15 min read) 1. Code for Object Tracking 2. Selective Search Segmentation 3. paper: (Selective Search Segmentation) https://blog.netcetera.com/object-detection-and-tracking-in-2020-f10fb6ff9af3 👉https://t.me/DeepLearning_ai

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FrankMocap: A Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration. LINK JOIN US 1. [Paper] ==> https://arxiv.org/pdf/2008.08324.pdf 2. [Video]==>https://www.youtube.com/watch?v=HXTK5ro9kGc&feature=youtu.be 3. [Code]==> https://github.com/facebookresearch/frankmocap 👉https://t.me/DeepLearning_ai

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Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.(FREE) https://developers.google.com/machine-learning/crash-course 👉https://t.me/DeepLearning_ai

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Top 25 Computer Vision Project Ideas for 2020 1. Edge Detection 2. Photo Sketching 3. Detecting Contours 4. Collage Mosaic Generator 5. Barcode and QR Code Scanner 6. Face Detection 7. Blur the Face 8. Image Segmentation 9. Human Counting with OpenCV 10. Colour Detection ..... ....... https://data-flair.training/blogs/computer-vision-project-ideas/ 👉https://t.me/DeepLearning_ai

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Here's a list of top 100 deep learning Github trending repositories. Date: 02-02-2020 compared to 09-01-2019 Note: This will be updated regularly. https://github.com/mbadry1/Top-Deep-Learning 👉https://t.me/DeepLearning_ai

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Self-supervised Representation Learning in Computer Vision — Part 2 https://medium.com/analytics-vidhya/self-supervised-representation-learning-in-computer-vision-part-2-8254aaee937c 👉https://t.me/DeepLearning_ai

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JOIN US

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Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I've coached and interviewed hundreds of software engineers. The result is this book. * 189 programming interview questions, ranging from the basics to the trickiest algorithm problems. * A walk-through of how to derive each solution, so that you can learn how to get there yourself. * Hints on how to solve each of the 189 questions, just like what you would get in a real interview. * Five proven strategies to tackle algorithm questions, so that you can solve questions you haven't seen. * Extensive coverage of essential topics, such as big O time, data structures, and core algorithms. * A behind the scenes look at how top companies like Google and Facebook hire developers. * Techniques to prepare for and ace the soft side of the interview: behavioral questions. * For interviewers and companies: details on what makes a good interview question

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Dive Into Deep Learning August 2020 and FREE version!!! D2L is the 987-page book that Amazon scientists have compiled over the past two years and has finally been completed... an interactive and ' open source book ' with code, math and discussions. What makes this book unique is that it was created with Jupyter Notebook and with the idea of ′′ Learning with Practice "... that is, the book in its entirety consists of executable code with adaptations in PyTorch, TensorFlow and MXNet. 1. Free PDF Download: https://d2l.ai/d2l-en.pdf 2. Download the book in 'notebook' format to read and execute locally from web site: https://d2l.ai 3. https://t.me/DeepLearning_ai

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Bookshelf for Machine Learning, Deep Learning, and related topics 1. Machine Leaning and Deep Learning (50 books) 2. Python Books 3. Math Books for Machine Learning (19 books) 4. NLP Books(11 books) 5. Computer Vision (CV) Book 6. Reinforcement Learning Books 7. Speech Processing 8. cheatsheets https://github.com/loveunk/Deep-learning-books 👉https://t.me/DeepLearning_ai

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Using Flask to optimize performance with Mask R-CNN segmentation(with source code) How to improve Mask R-CNN segmentation performance using a Flask web service. https://medium.com/medialesson/using-flask-to-optimize-performance-with-mask-r-cnn-segmentation-39752f153029 👉https://t.me/DeepLearning_ai

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If you want to do some reading on machine learning and AI, then this is the right project for you. It has many Jupyter notebooks on the basics of deep learning and machine learning in Python. https://github.com/ageron/handson-ml 👉https://t.me/DeepLearning_ai

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23 Amazing Deep Learning Project Ideas [Source Code Included] https://data-flair.training/blogs/deep-learning-project-ideas/ 👉https://t.me/DeepLearning_ai

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12 Papers You Should Read to Understand Object Detection in the Deep Learning Era https://towardsdatascience.com/12-papers-you-should-read-to-understand-object-detection-in-the-deep-learning-era-3390d4a28891 👉https://t.me/DeepLearning_ai

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Comprehensive Python Cheatsheet https://gto76.github.io/python-cheatsheet/ 👉https://t.me/DeepLearning_ai

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Image Object Detection — TensorFlow 2 Object Detection API https://medium.com/swlh/image-object-detection-tensorflow-2-object-detection-api-af7244d4c34e https://t.me/DeepLearning_ai https://t.me/MachineLearning_Programming

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All 57 of our deep learning tutorials to support Keras/TensorFlow 2! These tutorials are 100% free for you or anyone else in the world to access, read, and learn from — we never put our blog posts behind paywalls (unlike Medium blogs, for instance). https://www.pyimagesearch.com/category/keras-and-tensorflow/ https://t.me/DeepLearning_ai https://t.me/MachineLearning_Programming

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All 57 of our deep learning tutorials to support Keras/TensorFlow 2! These tutorials are 100% free for you or anyone else in the world to access, read, and learn from — we never put our blog posts behind paywalls (unlike Medium blogs, for instance). 1. Join. @DeepLearning_ai https://www.pyimagesearch.com/category/keras-and-tensorflow/

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YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS