Deep Learning Through Sparse and Low-Rank Modeling

by Yun Raymond, Thomas S Huang, Zhangyang Wang, et al.

Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models--those that emphasize problem-specific Interpretability--with recent deep network models that have enabled a larger learning capacity and better utilization of Big Data. It shows how the toolkit of deep learning is closely tied with the sparse/low rank methods and algorithms, providing a rich variety of theoretical and analytic...

• Format: Paperback
• Language: English
• ISBN: 0128136596
• ISBN13: 9780128136591
• Release Date: April 2019
• Publisher: Academic Press
• Length: 296 Pages
• Weight: 1.13 lbs.
• Dimensions: 0.6" x 7.5" x 9.3"