Provides the details of state-of-the-art machine learning methods used in VLSI Design.Discusses hardware implementation and device modeling pertaining to machine learning algorithms.Explores machine learning for various VLSI architectures and reconfigurable computing.Illustrate latest techniques for device size and feature optimization.Highlight latest case studies and reviews of the methods used for hardware implementation.
ISBN: | 9781032061719 |
Publisher: | CRC Press |
Imprint: | CRC Press |
Published date: | 31 Dec 2021 |
DEWEY: | 006.31 |
DEWEY edition: | 23 |
Language: | English |
Number of pages: | 312 |
Weight: | 652g |
Height: | 163mm |
Width: | 240mm |
Spine width: | 27mm |