Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Hackaday

Understanding Deep Learning: Free MIT Press EBook For Instructors And Students

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...
Gizmodo

Machine Learning vs. Deep Learning: What’s the Difference?

Artificial intelligence is everywhere these days, but the fundamentals of how this influential new technology work can be difficult to wrap your head around. Two of the most important fields in AI ...
Deep Learning with Yacine on MSNOpinion

What Are 1x1 Convolutions in Deep Learning – Explained Simply

Understand how 1x1 convolutions work and why they’re essential in modern neural network architectures like ResNet and ...
ZDNet

I asked Gemini and GPT-4 to explain deep learning AI, and Gemini won hands down

Sometimes, the best way to examine something is in the context of stuff you already know a little bit about. Or, at least, think you do. Writers, especially journalists, tend to lean on metaphor and ...
eWeek

Deep Learning vs Generative AI: Understanding the Key Differences

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More When it comes to generative AI vs deep learning, there’s a ...
techtimes

Deep Learning

Last week, Google's artificial intelligence program AlphaGo dominated its match with South Korean world Go champion Lee Sedol. Geoffrey Hinton, called the godfather of deep learning, explained the win ...