Analog IC Placement Generation via Neural Networks from Unlabeled Data - SpringerBriefs in Applied Sciences and Technology - Antonio Gusmao - Books - Springer Nature Switzerland AG - 9783030500603 - July 1, 2020
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Antonio Gusmao
Analog IC Placement Generation via Neural Networks from Unlabeled Data - SpringerBriefs in Applied Sciences and Technology 1st ed. 2020 edition

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This approach yields device-level descriptions of the input topology that, for each device, focus on describing its relation to every other device in the topology. By means of thesedescriptions, an unfamiliar overall topology can be broken down into devices that are subject to the same constraints as a device in one of the training topologies.

87 pages, 39 Illustrations, color; 29 Illustrations, black and white; XIII, 87 p. 68 illus., 39 illu

Media Books     Paperback Book   (Book with soft cover and glued back)
Released July 1, 2020
ISBN13 9783030500603
Publishers Springer Nature Switzerland AG
Pages 87
Dimensions 150 × 220 × 10 mm   ·   454 g
Language German  

Mere med samme udgiver

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