Deep Learning and XAI Techniques for Anomaly Detection: (Record no. 34651)
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
|---|---|
| ISBN | 978-1804617755 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Author Mark | SIM-D |
| 100 ## - MAIN ENTRY--AUTHOR | |
| Author Name | Simon, Cher |
| 245 ## - TITLE STATEMENT | |
| Title | Deep Learning and XAI Techniques for Anomaly Detection: |
| Sub-Title | Integrate the theory and practice of deep anomaly explainability |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of Publication | Birmingham, UK. |
| Name of publisher, distributor, etc. | Packt Publishing |
| Date of publication, distribution, etc. | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | 201p. |
| 500 ## - GENERAL NOTE | |
| General note | Despite promising advances, the opaque nature of deep learning models makes it difficult to interpret them, which is a drawback in terms of their practical deployment and regulatory compliance.<br/><br/>Deep Learning and XAI Techniques for Anomaly Detection shows you state-of-the-art methods that'll help you to understand and address these challenges. By leveraging the Explainable AI (XAI) and deep learning techniques described in this book, you'll discover how to successfully extract business-critical insights while ensuring fair and ethical analysis.<br/><br/>This practical guide will provide you with tools and best practices to achieve transparency and interpretability with deep learning models, ultimately establishing trust in your anomaly detection applications. Throughout the chapters, you'll get equipped with XAI and anomaly detection knowledge that'll enable you to embark on a series of real-world projects. Whether you are building computer vision, natural language processing, or time series models, you'll learn how to quantify and assess their explainability.<br/><br/>By the end of this deep learning book, you'll be able to build a variety of deep learning XAI models and perform validation to assess their explainability. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Include index. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Shelving Location | Date acquired | Source of acquisition | Price | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cyber Security | Air University Kharian Campus Library | Air University Kharian Campus Library | Cyber Security | 02/17/2025 | Ali Book Service | 1222.00 | 006.31 SIM-D | AUKHP0372 | 03/17/2025 | Book |