SNN

Sparse Neural Networks

From Practice to Theory

UT

Sparse Neural Networks

From Practice to Theory

Prof. Zhangyang "Atlas" Wang

Jack Kilby/Texas Instruments Endowed Assistant Professor
University of Texas at Austin

April 2023
Date
Bari, Italy
Location
4-5 Hours
Duration

A comprehensive tutorial exploring sparse neural networks beyond traditional pruning, covering theoretical foundations, practical applications, and cutting-edge research from the DeepLearn 2023 Spring International School.

Tutorial Sections

Explore 241 slides organized into comprehensive sections covering the complete spectrum of sparse neural networks research and applications.

241
Total Slides
8
Main Sections
4-5
Hours Content
239
Visual Elements