اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
Artificial Intelligence && Deep Learning
رفتن به کانال در Telegram
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:
نمایش بیشتر📈 تحلیل کانال تلگرام Artificial Intelligence && Deep Learning
کانال Artificial Intelligence && Deep Learning (@deeplearning_ai) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 58 029 مشترک است و جایگاه 2 289 را در دسته فناوری و برنامهها و رتبه 6 003 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 58 029 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 24 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -193 و در ۲۴ ساعت گذشته برابر 17 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 9.42% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً N/A% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 5 467 بازدید دریافت میکند. در اولین روز معمولاً 0 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 16 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند github, learning, estimation, dataset, engineer تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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:”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 25 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
58 029
مشترکین
+1724 ساعت
-237 روز
-19330 روز
آرشیو پست ها
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;
1.Join 👉@DeepLearning_ai
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
1.Join 👉@DeepLearning_ai
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.
1.Join 👉@MachineLearning_DeepLearning_ai
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)
1. Join👉@DeepLearning_AI
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
1. Join👉@DeepLearning_AI
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/
