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| Themen | Informatik und Informationstechnologie Allgemeine Themen |
|---|---|
| ISBN | 9786208158651 |
| Sprache | Englisch |
| Erscheinungsdatum | 04.10.2024 |
| Größe | 220 x 150 mm |
| Verlag | Our Knowledge Publishing |
| Lieferzeit | Lieferung in 7-14 Werktagen |
| Herstellerangaben | Anzeigen Str. Armeneasca 28/1, office 1 | MD-2012 Chisinau info@omniscriptum.com |
This book represents a first step towards embedded machine learning. It presents techniques for optimizing and compressing deep learning models. These techniques make it easier to deploy a high-performance, lightweight deep learning model on resource-constrained devices such as smartphones and microcontrollers. This paper also explores a topical knowledge transfer technique, namely knowledge distillation. This technique makes it possible to improve the performance of a lightweight deep learning model, while transferring to it the knowledge of a complex, high-performance deep learning model. All these techniques have been detailed in this book and illustrated with practical Python implementations, generally based on the use of the pytorch and tensorflow libraries.
| Themen | Informatik und Informationstechnologie Allgemeine Themen |
|---|---|
| ISBN | 9786208158651 |
| Sprache | Englisch |
| Erscheinungsdatum | 04.10.2024 |
| Größe | 220 x 150 mm |
| Verlag | Our Knowledge Publishing |
| Lieferzeit | Lieferung in 7-14 Werktagen |
| Herstellerangaben | Anzeigen Str. Armeneasca 28/1, office 1 | MD-2012 Chisinau info@omniscriptum.com |
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