Deep Learning University Course - Search Videos

Convolutional Neural Network (CNN) in Deep Learning - GeeksforGeeks

Convolutional Neural Network (CNN) in Deep Learning - GeeksforGeeks

geeksforgeeks.org

An Introduction To Deep Learning

An Introduction To Deep Learning

simplilearn.com

Hyperparameter Tuning - GeeksforGeeks

Hyperparameter Tuning - GeeksforGeeks

geeksforgeeks.org

Wide & Deep Learning for Recommender Systems | Proceedings of the 1st Workshop on Deep Learning for Recommender Systems

Wide & Deep Learning for Recommender Systems | Proceedings of the 1st Workshop on Deep Learning for Recommender Systems

Differences Between AI vs. Machine Learning vs. Deep Learning | Simplilearn

Differences Between AI vs. Machine Learning vs. Deep Learning | Simplilearn

simplilearn.com

A Survey of Deep Active Learning | ACM Computing Surveys

A Survey of Deep Active Learning | ACM Computing Surveys

Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again | Guide books | ACM Digital Library

Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again | Guide books | ACM Digital Library

Understanding Deep Learning (Still) Requires Rethinking Generalization

"There's a quadrillion-dollar question at the heart of AI: Why are humans so much more sample efficient compared to LLM? There are three possible answers: 1. Architecture and hyperparameters (aka transformer vs whatever ‘algo’ cortical columns are implementing) 2. Learning rule (backprop vs whatever brain is doing) 3. Reward function@AdamMarblestonebelieves the answer is the reward function."Haha. Marblestone, eh? This man insists on trying to force deep learning methods and techniques into neur

795.1K views2 months ago

تخيّل كاميرا تقرأ ملامحك وتقول أنت متوتر أو غاضب او محبط خلال ثواني !!هذه تقنية تحليل تعابير الوجه، مبنية على Computer Vision و Deep Learning 🤖ترصد أدق حركات الوجه وتحولها لبيانات تكشف حالتك النفسية 📊 حاليا استخدامها يتوسع في الأمن والمطارات الموضوع مو خيال علمي هذا واقع قاعد يتطور بسرعة ⚡️

26.2K views3 months ago

Yann LeCun ignored every rule in the textbook.And the textbook was wrong.He built neural networks with more parameters than data points.Every statistician alive said that shouldn’t work.LeCun: “Every pre-deep learning textbook told you, you need to have fewer parameters than you have data samples.”He trained them on non-convex objectives with no guarantee of convergence.Every optimization theorist alive said he was out of his mind.LeCun: “All those things you read in textbooks and they tell you

6.5K views2 months ago

IB Course Description Project: Intro - IB Matters

linkedin.comJon Peterson

Learning deep structured semantic models for web search using clickthrough data | Proceedings of the 22nd ACM international conference on Information & Knowledge Management

What does AI actually change for large engineering teams?In this episode of Deep Learning with PolyAI, Nikola Mrkšić sits down with Helen Greul, PolyAI's recently appointed SVP of Engineering, to explore how engineering teams are moving toward smaller, more nimble units, what that looks like from inside a fast-moving AI company, and what it means for leaders trying to build and manage technical teams today. Watch the full episode:

357 views2 weeks ago

How many of the big ideas of the past 15 years of AI are downstream of hardware constraints?The big hardware story over that period is that logic has become way cheaper than data transfer.Stacking huge numbers of matrix multiplies was perfect for this hardware regime, because matrix multiplication is logic-intensive but requires less data transfer. And so we got matmul-heavy deep learning.It's interesting to think about what AI would look like in a world where these costs didn't diverge so much.

10.5K views3 weeks ago

x.comDwarkesh Patel

Video Surveillance Anomaly Detection: A Review on Deep Learning Benchmarks

Wow. Can anyone tell me1) how they imagine the breakthroughs will help us understand deep learning Or 2) how dangerous it is to scrap these fundamental understandings Or 3) if there is anything we can learn from how a language change can affect our lives and our reality

4.9K views2 months ago

x.comVicki Lyn Kesterson

Simba | Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture

See more