Title:
Lecture 1: Mathematics for Deep Neural Networks

Abstract
There are many different types of neural networks that differ in complexity and the data types that can be processed. This lecture provides an overview and surveys the algorithms used to fit deep networks to data. We discuss different ideas that underly the existing approaches for a mathematical theory of deep networks.
Sponsor
Date Issued
2019-03-06
Extent
60:41 minutes
Resource Type
Moving Image
Resource Subtype
Lecture
Rights Statement
Rights URI