Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

The manuscript, called “The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks,” is an attempt to fill that knowledge gap.

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

Deep Learning A-Z 2025: Neural Networks, AI, and ChatGPT Prize Offered by Udemy, this course is taught by Kirill Eremenko and Hadelin de Ponteves and focuses on practical deep learning ...

Theoretical physicists employ their imaginations and their deep understanding of mathematics to decipher the underlying laws of the universe that govern particles, forces and everything in between.

The aim of the course will be to cover interesting, influential papers in learning theory (with a particular emphasis on deep learning theory) . There are two goals (1) explore different frameworks, ...

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 a… ...