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 58 029 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 58 029 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.

58 029

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

58 019

Must-read papers on GNN Join👇👇👇 @DeepLearning_AI .https://github.com/thunlp/GNNPapers

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Review: FSRCNN (Super Resolution) What Are Covered 1. Brief Review of SRCNNFSRCNN Network 2. ArchitectureExplanation of 1×1 Convolution Used in 3. Shrinking and Expanding 4. Explanation of Multiple 3×3 Convolutions in Non-Linear Mapping 5. Ablation Study 6. Results Join👇👇👇 @DeepLearning_AI .https://towardsdatascience.com/review-fsrcnn-super-resolution-80ca2ee14da4

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Review: G-RMI — Winner in 2016 COCO Detection (Object Detection) Join👇👇👇 @DeepLearning_AI .https://towardsdatascience.com/review-g-rmi-winner-in-2016-coco-detection-object-detection-af3f2eaf87e4

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The project is about predicting coronary heart disease by using three different ML algorithms Join👇👇👇 https://blog.goodaudience.com/heart-disease-prediction-aa656f2db585

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The 5 Feature Selection Algorithms every Data Scientist should know Join👇👇👇 @DeepLearning_AI .https://towardsdatascience.com/the-5-feature-selection-algorithms-every-data-scientist-need-to-know-3a6b566efd2

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Deepfakes, FaceGANS, and Synthetic Data: Welcome to the Reality Illusion of 2020 Join👇👇👇 @DeepLearning_AI .https://medium.com/swlh/deepfakes-facegans-and-the-rise-of-synthetic-data-welcome-to-2020-a54b88eecdf9

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2D or 3D? A Simple Comparison of Convolutional Neural Networks for Automatic Segmentation of Cardiac Imaging 👇👇👇 @DeepLearning_AI .https://towardsdatascience.com/2d-or-3d-a-simple-comparison-of-convolutional-neural-networks-for-automatic-segmentation-of-625308f52aa7

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A 2019 Guide to Object Detection 👇👇👇 @DeepLearning_AI .https://heartbeat.fritz.ai/a-2019-guide-to-object-detection-9509987954c3

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Everything You Need to Know About Autoencoders in TensorFlow Join👇👇👇 @DeepLearning_AI .https://towardsdatascience.com/everything-you-need-to-know-about-autoencoders-in-tensorflow-b6a63e8255f0

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The Best Machine Learning Research of 2019 So Far - ODSC - Open Data Science - Medium Join👇👇👇 @DeepLearning_AI .https://medium.com/@ODSC/the-best-machine-learning-research-of-2019-so-far-954120947794

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Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library 1st Edition join👇👇👇 @DeepLearning_AI Who This Book Is For This book contains descriptions, working code examples, and explanations of the C++ computer vision tools contained in the OpenCV 3.x library. Thus, it should be helpful to many different kinds of users: Professionals and entrepreneurs For practicing professionals who need to rapidly prototype or professionally implement computer vision systems, the sample code provides a quick frame‐ work with which to start. Our descriptions of the algorithms can quickly teach or remind the reader how they work. OpenCV 3.x sits on top of a hardware acceler‐ ation layer (HAL) so that implemented algorithms can run efficiently, seamlessly taking advantage of a variety of hardware platforms. Students.... Teachers.... Hobbyist....

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Video classification with Keras and Deep Learning join👇👇👇 @DeepLearning_AI .https://www.pyimagesearch.com/2019/07/15/video-classification-with-keras-and-deep-learning/

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Advancing Semi-supervised Learning with Unsupervised Data Augmentation join👇👇👇 @DeepLearning_AI .https://ai.googleblog.com/2019/07/advancing-semi-supervised-learning-with.html

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FREE COURSE Intro to TensorFlow for Deep Learning This course is a practical approach to deep learning for software developers join👇👇👇 @DeepLearning_AI .https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187

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Your State of AI Report 2019 join👇👇👇 @DeepLearning_AI .https://medium.com/@NathanBenaich/state-of-ai-2019-733c81aeb04b

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Landmark Assisted CycleGAN for Cartoon Face Generation join👇👇👇 @DeepLearning_AI .https://deepai.org/publication/landmark-assisted-cyclegan-for-cartoon-face-generation

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The Secret to Mastering ML join👇👇👇 @DeepLearning_AI .https://medium.com/technomancy/the-secret-to-mastering-ml-9e328d5f06a

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500+ awesome bookmarks for Data Science & Machine Learning join👇👇👇 @DeepLearning_AI .https://towardsdatascience.com/500-free-high-quality-online-resources-for-data-science-machine-learning-7eda5bf33872

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Computer Vision: A Study On Different CNN Architectures and their Applications join👇👇👇 @DeepLearning_AI .https://medium.com/alumnaiacademy/introduction-to-computer-vision-4fc2a2ba9dc

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AI Scholar: Human vs Machine Attention in Neural Networks join👇👇👇 @DeepLearning_AI .https://medium.com/ai%C2%B3-theory-practice-business/ai-scholar-human-vs-machine-attention-in-neural-networks-69a8b59e577f