| Title:
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ANALOG IC PLACEMENT GENERATION VIA NEURAL NETWORKS FROM UNLABELED DATA
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| By: |
Antonio Gusmao |
| Format: |
Paperback / softback |
| List price:
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£44.99 |
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£39.37 |
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£5.62 |
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| ISBN 10: |
3030500608 |
| ISBN 13: |
9783030500603 |
| Availability: |
Usually dispatched within 1-3 weeks.
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| Stock: |
Currently 0 available |
| Publisher: |
SPRINGER NATURE SWITZERLAND AG |
| Pub. date: |
14 August, 2020 |
| Edition: |
1st ed. 2020 |
| Series: |
SpringerBriefs in Applied Sciences and Technology |
| Pages: |
88 |
| Description: |
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 these descriptions, 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. |
| Illustrations: |
38 Illustrations, color; 14 Illustrations, black and white; XIII, 88 p. 52 illus., 38 illus. in color. |
| Returns: |
Returnable |