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.

This project develops mathematical theory for deep learning, critical in making these enormously successful machine learning methods more broadly applicable, efficient, interpretable, safe, and ...

Gareth P. Green, John C. Bean, Dean J. Peterson, Deep Learning in Intermediate Microeconomics: Using Scaffolding Assignments to Teach Theory and Promote Transfer, The Journal of Economic Education, ...

Our program uniquely defines learning as a process of "becoming" and the construction of knowledge, meaning, self, and the world. Our cutting-edge curriculum is based on learning sciences theories, ...

Understand what in-context learning means in deep learning, how it works, and why it’s key for modern AI models. Perfect for ...

This article is intended to establish a framework for the formulation of a comprehensive theory of second language learning in which theories of first and second language learning may combine to form ...

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, ...

Experiential Learning in Online Education Experiential learning is highly suited to the at-a-distance or online learning environment. We often put students into a lab and ask them to imagine how ...

The European Research Council ERC is supporting his new group on deep learning theory, which focuses on improving learning in neural networks, with an amount of 1.5 million euro.