¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
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:
Mostrar más📈 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
Archivo de publicaciones
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;
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2.Join 👉@ComputerScience_MachineLearning
https://github.com/ChanChiChoi/awesome-Face_Recognition#face-detection--face-segmentation
Machine Learning and Data Science free online courses to do in quarantine
A. Beginner courses
1. Machine Learning
2. Machine Learning with Python
B. Intermediate courses
3. Neural Networks and Deep Learning
4. Convolutional Neural Networks
C. Advanced course
5. Advanced Machine Learning Specialization
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2.Join 👉@ComputerScience_MachineLearning
https://towardsdatascience.com/machine-learning-free-online-courses-from-beginner-to-advanced-f50982dce950
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
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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.
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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]
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2.Join 👉@ComputerScience_MachineLearning
https://data-flair.training/blogs/machine-learning-project-ideas/
Detect AI-generated Images & Deepfakes (Part 2)
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2. Join 👉https://www.facebook.com/groups/MachineLearningSource/
3.Join 👉@ComputerScience_MachineLearning
* Part 1:👇👇
https://medium.com/@jonathan_hui/detect-ai-generated-images-deepfakes-part-1-b518ed5075f4
* Part 2: 👇👇👇
https://medium.com/@jonathan_hui/detect-ai-generated-images-deepfakes-part-2-436c57eeb878
OpenCV Text Detection (EAST text detector)
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2. Join:https://www.facebook.com/groups/MachineLearningSource/
3.@ComputerScience_MachineLearning
https://www.pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/?utm_source=facebook&utm_medium=ad-16-03-2020&utm_campaign=%7B%7Bcampaign.name%7D%7D&utm_content=%7B%7Bad.name%7D%7D&fbid_campaign=%7B%7Bcampaign.id%7D%7D&fbid_adset=%7B%7Badset.id%7D%7D&utm_adset=%7B%7Badset.name%7D%7D&fbid_ad=%7B%7Bad.id%7D%7D&fbclid=IwAR2gszIRlwWDQ6eQSU5IFjKF8FUbfGKNnXOP6gNlC5xZASL_r6ee83jR3tk
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.
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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.
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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
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)
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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 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.
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2.https://www.cambridge.org/core/what-we-publish/textbooks
Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning
by Adrian Rosebrock on March 16, 2020
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2. https://www.pyimagesearch.com/2020/03/16/detecting-covid-19-in-x-ray-images-with-keras-tensorflow-and-deep-learning/?fbclid=IwAR1dRprtpFZ4GSbNlSPcwSCe7jHcFVZ4dA9UBUjaaKUxr5ViAGsnaWNgjGs
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.
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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
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2. https://blog.tensorflow.org/2020/03/face-and-hand-tracking-in-browser-with-mediapipe-and-tensorflowjs.html?linkId=83996111&m=1
Speech Recognition — Deep Speech, CTC, Listen, Attend, and Spell
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https://medium.com/@jonathan_hui/speech-recognition-deep-speech-ctc-listen-attend-and-spell-d05e940e9ed1
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
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2. https://www.freecodecamp.org/news/free-online-programming-cs-courses/
