Proceedings
Author :
Publisher :
Page : 586 pages
File Size : 35,90 MB
Release : 1918
Category : Canada
ISBN :
Author :
Publisher :
Page : 586 pages
File Size : 35,90 MB
Release : 1918
Category : Canada
ISBN :
Author : Canada. Topographical Survey
Publisher :
Page : 760 pages
File Size : 41,94 MB
Release : 1908
Category : Canada
ISBN :
Author : Wisconsin. Division for Library Services
Publisher :
Page : 160 pages
File Size : 39,11 MB
Release : 1981
Category :
ISBN :
Author : Canada. Topographical and Air Survey Bureau
Publisher :
Page : 476 pages
File Size : 20,67 MB
Release : 1924
Category :
ISBN :
Author : Canada. Parliament
Publisher :
Page : 792 pages
File Size : 40,8 MB
Release : 1911
Category : Canada
ISBN :
"Report of the Dominion fishery commission on the fisheries of the province of Ontario, 1893", issued as an addendum to vol. 26, no. 7.
Author :
Publisher :
Page : 810 pages
File Size : 44,27 MB
Release : 1911
Category : Canada
ISBN :
"Report of the Dominion fishery commission on the fisheries of the province of Ontario, 1893", issued as vol. 26, no. 7, supplement.
Author : Canada. Parliament
Publisher :
Page : 954 pages
File Size : 39,78 MB
Release : 1915
Category : Canada
ISBN :
"Report of the Dominion fishery commission on the fisheries of the province of Ontario, 1893", issued as vol. 26, no. 7, supplement.
Author : Canada. Parliament
Publisher :
Page : 954 pages
File Size : 15,21 MB
Release : 1915
Category : Canada
ISBN :
Author :
Publisher :
Page : 978 pages
File Size : 18,53 MB
Release : 1911
Category : Electric power-plants
ISBN :
Author : Haoxing Ren
Publisher : Springer Nature
Page : 585 pages
File Size : 24,96 MB
Release : 2023-01-01
Category : Technology & Engineering
ISBN : 303113074X
This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and analog design and verification. Experts from academia and industry cover a wide range of the latest research on ML applications in electronic design automation (EDA), including analysis and optimization of digital design, analysis and optimization of analog design, as well as functional verification, FPGA and system level designs, design for manufacturing (DFM), and design space exploration. The authors also cover key ML methods such as classical ML, deep learning models such as convolutional neural networks (CNNs), graph neural networks (GNNs), generative adversarial networks (GANs) and optimization methods such as reinforcement learning (RL) and Bayesian optimization (BO). All of these topics are valuable to chip designers and EDA developers and researchers working in digital and analog designs and verification.