کاملترین مرجع آموزشی پایتون و ابزارهای هوش مصنوعی و علوم مرتبط

Deep Learning, Tensorflow , Keras & ...

اخبار  هوش مصنوعی
مقالات و یافته های جدید یادگیری عمیق
آموزشهای مرتبط با تنسرفلو و کراس
بینایی ماشین
و ...👇👇👇

به کانال متصل زیر ملحق شوید🔸 https://t.me/+Q8R1ElHfFW81Njg8

Introduction to Deep Learning, Carnegie Mellon 2022-23

https://m.youtube.com/playlist?list=PLp-0K3kfddPwgBSCbDtT6NaVOd-gIHVMW

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 ([email protected]).

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

🎲 آزمون 'در این آزمون شما به یادآوری دانسته های خود در رابطه با DeepLearning خواهید پرداخت با ما همراه باشید. @AI_Python'
*🖊 7 سوال · ⏱ ‏30 ثانیه*

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

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

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

How does the choice of loss affect the transferability of classification models?

Paper: https://openreview.net/forum?id=8twKpG5s8Qh
Blog: https://link.medium.com/iYSvlULxsnb

If you are looking for educational opportunities, subscribe to this channel
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🔰 https://t.me/DLeX_Apply

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

Eventbrite

Introducing SailMapAI and GetConf - Neural Seamap Generator & Mobile Apps

Introducing SailMapAI - Educational Neural Seamap Generator Project