Talk
Introduction to the Theory of Neural Networks
- Guido Montúfar
Abstract
This lecture gives an introduction to neural network learning from a theoretical standpoint. The main focus is on supervised learning problems, covering topics on learnability, generalization, and complexity. The lecture will also touch on current developments on the theory of deep learning.
References
M. Anthony and P. Bartlett, Neural Network Learning: Theoretical Foundations, Part one.
Date and time info
Thursday 11:15 - 12:45
Keywords
artificial neural networks, supervised learning, pattern classification, VC-dimension, theory of deep learning
Prerequisites
basic linear algebra and analysis
Audience
MSc students, PhD students, Postdocs
Language
English