# Events for 09/10/2019 from all calendars

## Committee P Meeting

**Time:** 4:00PM - 5:00PM

**Location:** BLOC 220

**Speaker:** Committee P Meeting, Texas A&M University

## Student Working Seminar in Algebra and Geometry

**Time:** 4:00PM - 5:00PM

**Location:** BLOC 628

**Speaker:** Thomas Yahl, Texas A&M University

**Title:** *Lang's Algebra; Chapter XIII, Sections 5-7*

## Industrial and Applied Math

**Time:** 5:20PM - 6:20PM

**Location:** BLOC 220

**Speaker:** Boris Hanin, Texas A&M

**Title:** *Hyperplane Arrangements in Deep Learning*

**Abstract:** Deep learning is the study and application of neural networks. Each network is a non-linear family of functions, and such families form the backbone for many state of the art machine learning tasks ranging from computer vision to natural language processing. I will explain what a neural network is and will focus on a simple but important example called ReLU networks. The complexity of the function computed by a ReLU network is naturally captured by a generalization of a hyperplane arrangement. I will discuss this connection and will explain why the complexity of such arrangements is important for understanding how and why neural networks work in practice.