Deep learning and XAI techniques for anomaly detection : integrating the theory and practice of deep anomaly explainability /
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. Deep Learning and XAI Techniques for Anomaly Detection shows you state-of-the-art methods that'll hel...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | Simon, Cher (Autor) |
Otros Autores: | Barr, Jeff (Jeffrey Scott) (writer of foreword.) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Birmingham, UK :
Packt Publishing Ltd.,
2023.
|
Edición: | 1st edition. |
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
Practical machine learning : a new look at anomaly detection /
por: Dunning, Ted, 1956-
Publicado: (2014) -
Understanding anomaly detection: an exploration of anomaly detection's history, applications, and state-of-the-art techniques /
Publicado: (2017) -
Beginning anomaly detection using Python-based deep learning : with Keras and PyTorch /
por: Alla, Sridhar, et al.
Publicado: (2019) -
Practical Threat Detection Engineering A Hands-On Guide to Planning, Developing, and Validating Detection Capabilities /
por: Roddie, Megan
Publicado: (2023) -
Finding ghosts in your data : anomaly detection techniques with examples in Python /
por: Feasel, Kevin
Publicado: (2022)