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Post #2402
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Post #2394
3.83K
Forwarded from DeepMind AI Expert (Farzad 🦅)
❓ چرا سرویس گذر از تحریم F14
📌 دارای تیم فنی قوی و متخصص و نوآور
📌 ارائه بیش از 60 سرور از 15 کشور برای هر اشتراک (در حال افزایش🔼)
📌 ارائه سرویس موقت جایگزین در مواقع بحران برای حفظ ارتباط کاربران
📌 دارای پشتیبانی با دانش بالا و صبر و حوصله
📌 ارائه آموزش‌های لازم بصورت تصویری برای کاربران
📌 ارائه سرویس برای تمامی سیستم عامل‌ها با یک اشتراک
📌 ارائه سرویس برای تمامی ISPها
📌 ارائه کانکشن‌های سازگار با هر ISP
📌 ارائه سرورهای VIP برای اینترنت‌های دارای محدودیت بسیار بالا
📌 نمایش ریز مصرف کاربران
📌 امکان سفارش و تمدید بصورت کاملا خودکار در ۲۴ ساعت شبانه روز
📌 امکان سفارش و تمدید با رمز ارزها
☄️ این‌ها بخشی از ویژگی‌های سرویس ما می‌باشد.
✔️ از نــظـر مـا فــروش پـایـان کــار نـیـسـت بـلـکه آغــاز یــک تـعـهد مـی‌بـاشـد.
🔸 https://t.me/F14PanelBot
پ.ن: پیشنهاد ویژه من به شما کیفیت پاسخگویی و پشتیبانی عالی برای کانکشنها
📌 دارای تیم فنی قوی و متخصص و نوآور
📌 ارائه بیش از 60 سرور از 15 کشور برای هر اشتراک (در حال افزایش🔼)
📌 ارائه سرویس موقت جایگزین در مواقع بحران برای حفظ ارتباط کاربران
📌 دارای پشتیبانی با دانش بالا و صبر و حوصله
📌 ارائه آموزش‌های لازم بصورت تصویری برای کاربران
📌 ارائه سرویس برای تمامی سیستم عامل‌ها با یک اشتراک
📌 ارائه سرویس برای تمامی ISPها
📌 ارائه کانکشن‌های سازگار با هر ISP
📌 ارائه سرورهای VIP برای اینترنت‌های دارای محدودیت بسیار بالا
📌 نمایش ریز مصرف کاربران
📌 امکان سفارش و تمدید بصورت کاملا خودکار در ۲۴ ساعت شبانه روز
📌 امکان سفارش و تمدید با رمز ارزها
☄️ این‌ها بخشی از ویژگی‌های سرویس ما می‌باشد.
✔️ از نــظـر مـا فــروش پـایـان کــار نـیـسـت بـلـکه آغــاز یــک تـعـهد مـی‌بـاشـد.
🔸 https://t.me/F14PanelBot
پ.ن: پیشنهاد ویژه من به شما کیفیت پاسخگویی و پشتیبانی عالی برای کانکشنها
Post #2381
4.84K
Forwarded from DeepMind AI Expert (Farzad 🦅)
محدودیتهای مدلهای LLMs
Fundamental Limitations of Alignment in Large Language Models
https://arxiv.org/abs/2304.11082
#مقاله #ایده_جذاب
🔸 مطالب بیشتر 👇👇
✅ @AI_DeepMind
Fundamental Limitations of Alignment in Large Language Models
https://arxiv.org/abs/2304.11082
#مقاله #ایده_جذاب
🔸 مطالب بیشتر 👇👇
✅ @AI_DeepMind
Post #2379
5.05K
Introduction to Deep Learning, Carnegie Mellon 2022-23
https://m.youtube.com/playlist?list=PLp-0K3kfddPwgBSCbDtT6NaVOd-gIHVMW
https://m.youtube.com/playlist?list=PLp-0K3kfddPwgBSCbDtT6NaVOd-gIHVMW
Post #2378
6.36K
با تشکر از دکتر آرش ربانی برای ارسال این موقعیت تحصیلی هر کدوم از دانشجوها علاقمند به اپلای هستند اقدام کنند.
A fully funded Ph.D. position in computer science at the University of Leeds! We are looking for an outstanding international or UK-based applicant to join our research group (Data Flow Lab) at the school of computing. The project title is “3D reconstruction of porous material based on 2D images using conditional generative adversarial neural networks (CGANs)”. If you are interested in Generative Adversarial Neural Networks, functional material, porous media, and 3D image analysis, don’t miss the opportunity! We will be working closely with the school of geoscience and medicine to study realistic images of geological and biological porous material. For more information and to express interest, please be in touch through email (a.rabbani@leeds.ac.uk).
FindAPhD page link: https://www.findaphd.com/phds/project/3d-reconstruction-of-porous-material-based-on-2d-images-using-conditional-generative-adversarial-neural-networks-cgans/?p154984
University page link: https://phd.leeds.ac.uk/project/1597-3d-reconstruction-of-porous-material-based-on-2d-images-using-conditional-generative-adversarial-neural-networks-cgans
Research group link: www.DataFlowLab.org
A fully funded Ph.D. position in computer science at the University of Leeds! We are looking for an outstanding international or UK-based applicant to join our research group (Data Flow Lab) at the school of computing. The project title is “3D reconstruction of porous material based on 2D images using conditional generative adversarial neural networks (CGANs)”. If you are interested in Generative Adversarial Neural Networks, functional material, porous media, and 3D image analysis, don’t miss the opportunity! We will be working closely with the school of geoscience and medicine to study realistic images of geological and biological porous material. For more information and to express interest, please be in touch through email (a.rabbani@leeds.ac.uk).
FindAPhD page link: https://www.findaphd.com/phds/project/3d-reconstruction-of-porous-material-based-on-2d-images-using-conditional-generative-adversarial-neural-networks-cgans/?p154984
University page link: https://phd.leeds.ac.uk/project/1597-3d-reconstruction-of-porous-material-based-on-2d-images-using-conditional-generative-adversarial-neural-networks-cgans
Research group link: www.DataFlowLab.org
Post #2374
11.1K
Self supervised learning is the most intriguing form of AI yet..
Like babies, machine simply learn by observing the environment
Multi-task self learners that learn from hybrid inputs comprising of text, voice and images will be our next step towards AGI
Like babies, machine simply learn by observing the environment
Multi-task self learners that learn from hybrid inputs comprising of text, voice and images will be our next step towards AGI
Post #2373
10.4K
he more you train deep learning models, the more you realize that there is still so much left to figure out with NNs..
Neural networks still
- require a lot of data cleaning
- need a fair bit of featurization
- regularly overfit
- often don't learn the nuance in the data
Neural networks still
- require a lot of data cleaning
- need a fair bit of featurization
- regularly overfit
- often don't learn the nuance in the data
Post #2372
9.15K
If there is no signal in your data, the ML model won't magically be predictive.
Plus simpler models will do better with low signal vs. bigger more complex models...
Unfortunately, it is, what it is
Plus simpler models will do better with low signal vs. bigger more complex models...
Unfortunately, it is, what it is
Post #2369
9.72K
If you are looking for educational opportunities, subscribe to this channel
👇👇
🔰 https://t.me/DLeX_Apply
👇👇
🔰 https://t.me/DLeX_Apply
Post #2366
14.2K
The upcoming Saturday 10am CET we perform a SeaMapAI Project Meetup #1. The idea is to cycle GANs, utilize neural networks orchestration, evaluate images and eventually generate sea maps!
https://www.eventbrite.co.uk/e/introducing-sailmapai-educational-neural-seamap-generator-project-tickets-149691925579?aff=telegram
https://www.eventbrite.co.uk/e/introducing-sailmapai-educational-neural-seamap-generator-project-tickets-149691925579?aff=telegram
Post #2365
14.7K
Tensorflow + dalex, or how to explain a TensorFlow model
Article:
https://www.kdnuggets.com/2020/11/dalex-explain-tensorflow-model.html
Code:
https://dalex.drwhy.ai/python-dalex-tensorflow.html
Explanatory Model Analysis:
https://pbiecek.github.io/ema/
KDnuggets tensorflow + dalex = :) , or how to explain a TensorFlow model Having a machine learning model that generates interesting predictions is one thing. Understanding why it makes these predictions is another. For a tensorflow predictive model, it can be straightforward and convenient develop an explainable AI by leveraging… Article:
https://www.kdnuggets.com/2020/11/dalex-explain-tensorflow-model.html
Code:
https://dalex.drwhy.ai/python-dalex-tensorflow.html
Explanatory Model Analysis:
https://pbiecek.github.io/ema/
Post #2364
12.2K
Post #2362
16.5K
Stanford CS224w’s lectures Machine Learning with Graphs, Leskovec et al.: https://lnkd.in/d4Cnahj #DeepLearning #Graphs #MachineLearning
Post #2361
16.2K
A Hybrid Approach for Fake News Detection in Twitter Based on User Features and Graph Embeddings
• Using node2vec to extract features from a twitter follower graph. In conjunction with user features provided by Twitter.
This hybrid approach considers both the characteristics of the user and his social graph. The results show that the approach consistently and significantly outperforms existent approaches limited to user features.
Paper is.gd/LP9uKD
• Using node2vec to extract features from a twitter follower graph. In conjunction with user features provided by Twitter.
This hybrid approach considers both the characteristics of the user and his social graph. The results show that the approach consistently and significantly outperforms existent approaches limited to user features.
Paper is.gd/LP9uKD
Post #2360
10.8K
In future #AI hiring other AI be like: Job Profile: *human baby sitter*
- Experience : trained on 100 years of past data.
- Test Accuracy : 99.9999
- Precision: blah
- recall : blah
- AUC : blah blah
- Inference time: A.C
- Trained on : Latest "alien" TPUs and GPUs
- Bias : blah Note: AI trained on old TPUs will not be considered. And then AI will gossip with each other about bias and discrimination they have to go through compared to others like:
- "Wouldn't I be considered if I am trained on X country's data?"
- "Why was she considered even though she has outliers in the data?"
- "I am trained on old TPUs, I won't be considered? What!" LOL #artificialintelligence #machinelearning
- Experience : trained on 100 years of past data.
- Test Accuracy : 99.9999
- Precision: blah
- recall : blah
- AUC : blah blah
- Inference time: A.C
- Trained on : Latest "alien" TPUs and GPUs
- Bias : blah Note: AI trained on old TPUs will not be considered. And then AI will gossip with each other about bias and discrimination they have to go through compared to others like:
- "Wouldn't I be considered if I am trained on X country's data?"
- "Why was she considered even though she has outliers in the data?"
- "I am trained on old TPUs, I won't be considered? What!" LOL #artificialintelligence #machinelearning
AI, Python, Cognitive Neuroscience pinned Deleted message
Post #2356
11.6K
All the videos for the Computer Vision lecture
on "Detection, Segmentation, and Tracking" are now public!
Videos: https://youtube.com/playlist?list=PLog3nOPCjKBneGyffEktlXXMfv1OtKmCs…
Slides: https://dvl.in.tum.de/teaching/cv3dst-ss20/
on "Detection, Segmentation, and Tracking" are now public!
Videos: https://youtube.com/playlist?list=PLog3nOPCjKBneGyffEktlXXMfv1OtKmCs…
Slides: https://dvl.in.tum.de/teaching/cv3dst-ss20/
Post #2355
8.3K
Post #2352
6.92K
Post #2351
13K
How to read Deep Learning research papers.
⚫ A systematic approach to reading a collection of papers to gain knowledge within a domain
⚫ How to properly read a research paper
⚫ Useful online resources that
can aid you in searching for papers and key information "50–100 papers will primarily provide you with a very good understanding of the domain."
https://towardsdatascience.com/how-you-should-read-research-papers-according-to-andrew-ng-stanford-deep-learning-lectures-98ecbd3ccfb3
⚫ A systematic approach to reading a collection of papers to gain knowledge within a domain
⚫ How to properly read a research paper
⚫ Useful online resources that
can aid you in searching for papers and key information "50–100 papers will primarily provide you with a very good understanding of the domain."
https://towardsdatascience.com/how-you-should-read-research-papers-according-to-andrew-ng-stanford-deep-learning-lectures-98ecbd3ccfb3