Interpretability in Deep Learning
This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In addition, it includes several case studies from application-oriented articles in the fields of compute...
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| Hoofdauteurs: | , , |
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| Coauteur: | |
| Formaat: | Elektronisch E-boek |
| Taal: | Engels |
| Gepubliceerd in: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Editie: | 1st ed. 2023. |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/978-3-031-20639-9 |
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| 020 | |a 9783031206399 |9 978-3-031-20639-9 | ||
| 024 | 7 | |a 10.1007/978-3-031-20639-9 |2 doi | |
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| 100 | 1 | |a Somani, Ayush. |e author. |0 (orcid)0000-0002-8614-6611 |1 https://orcid.org/0000-0002-8614-6611 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Interpretability in Deep Learning |h [electronic resource] / |c by Ayush Somani, Alexander Horsch, Dilip K. Prasad. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (XX, 466 p. 176 illus.). |b 172 illus. in color. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Chapter 1. Introduction -- Chapter 2. Neural networks for deep learning -- Chapter 3. Knowledge Encoding and Interpretation -- Chapter 4. Interpretation in Specific Deep Learning Architectures -- Chapter 5. Fuzzy Deep Learning. | |
| 520 | |a This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In addition, it includes several case studies from application-oriented articles in the fields of computer vision, optics and machine learning related topic. The book can be used as a monograph on interpretability in deep learning covering the most recent topics as well as a textbook for graduate students. Scientists with research, development and application responsibilities benefit from its systematic exposition. . | ||
| 588 | |a Print version record. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Operations research. | |
| 650 | 0 | |a Knowledge management. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Operations Research and Decision Theory. |
| 650 | 2 | 4 | |a Knowledge Management. |
| 650 | 2 | 4 | |a Computer Vision. |
| 700 | 1 | |a Horsch, Alexander. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Prasad, Dilip K. |e author. |0 (orcid)0000-0002-3693-6973 |1 https://orcid.org/0000-0002-3693-6973 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031206382 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031206405 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031206412 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-20639-9 |
| 912 | |a ZDB-2-SCS | ||
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| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||