April 2019
Intermediate to advanced
296 pages
17h 13m
English
Content preview from Deep Learning through Sparse and Low-Rank Modeling
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Chapter 1
Introduction
Zhangyang Wang⁎; Ding Liu† ⁎Department of Computer Science and Engineering, Texas A&M University, College Station, TX, United States†Beckman Institute for Advanced Science and Technology, Urbana, IL, United States
Abstract
Deep learning has achieved prevailing success in a wide domain of machine learning and computer vision fields. On the other hand, sparsity and low-rankness have been popular regularizations in classical machine learning. This section is intended as a brief introduction to the basics if deep learning, and then focuses on its inherent connections to the concepts of sparsity and low-rankness.
Keywords
Sparsity; Low rank; Deep learning
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