Deep Learning Formation - Search Videos

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms | Guide books | ACM Digital Library

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms | Guide books | ACM Digital Library

Convolutional Neural Network (CNN) in Deep Learning - GeeksforGeeks

Convolutional Neural Network (CNN) in Deep Learning - 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

What is the characteristics of deep learning that traditionally... | Filo

What is the characteristics of deep learning that traditionally... | Filo

Top 8 Deep Learning Frameworks You Should Know | 2025

Top 8 Deep Learning Frameworks You Should Know | 2025

simplilearn.com

A Survey of Deep Active Learning | ACM Computing Surveys

A Survey of Deep Active Learning | ACM Computing Surveys

Understanding Deep Learning (Still) Requires Rethinking Generalization

Understanding Deep Learning (Still) Requires Rethinking Generalization

Programming Machine Learning

Violence Detection From Industrial Surveillance Videos Using Deep Learning

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

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 views1 month ago

x.comVicki Lyn Kesterson

"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

Estimating GPU memory consumption of deep learning models | Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

G*ry Marc*s contributing to progress of AI with his vitalizing blogposts on why deep learning / LLM has to fail in the long run

11K views3 months 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

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

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

DeepLearning.AI | LinkedIn

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Fundamentals of Deep Learning: Designing Next-Generation Machine

Convolutional Neural Network (CNN) in Deep Learning - GeeksforGeeks

geeksforgeeks.org

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

What is the characteristics of deep learning that traditionally... | Filo

Top 8 Deep Learning Frameworks You Should Know | 2025

simplilearn.com

A Survey of Deep Active Learning | ACM Computing Surveys

Understanding Deep Learning (Still) Requires Rethinking Generalization

Programming Machine Learning

Violence Detection From Industrial Surveillance Videos Using Deep Learning

Learning deep structured semantic models for web search using clickthrough data

Wow. Can anyone tell me1) how they imagine the breakthroughs will help us

4.9K views1 month ago

x.comVicki Lyn Kesterson

"There's a quadrillion-dollar question at the heart of AI: Why are humans so much more

795.1K views2 months ago

Estimating GPU memory consumption of deep learning models | Proceedings of the

G*ry Marc*s contributing to progress of AI with his vitalizing blogposts on why deep

11K views3 months ago

How many of the big ideas of the past 15 years of AI are downstream of hardware

10.5K views3 weeks ago

x.comDwarkesh Patel

Yann LeCun ignored every rule in the textbook.And the textbook was wrong.He built

6.5K views2 months ago

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

DeepLearning.AI | LinkedIn