VLSI and Hardware Implementations using Modern Machine Learning Methods

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.